abacus
Keywords | References |
computer | algorithms logic |
cybernetics | parallel computing |
probability | probability |
system engineering |
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abstract
Keywords | * No References |
representation | |
Knowledge Representation | |
explicit representation | |
implicit representation | |
connectionism | |
associationism |
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abstraction
Keywords | References |
strata polymorphism | context |
object existential | knowledge representation |
dimension creativity | logic |
continuum class | taxonomy |
composition decomposition | |
object-oriented inheritance |
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acetylcholine
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ACID
- Atomicity: Either the task (or all tasks) within a transaction are performed or none of them are. This is the all-or-none principle. If one element of a transaction fails the entire transaction fails.
- Consistency: The transaction must meet all protocols or rules defined by the system at all times. The transaction does not violate those protocols and the database must remain in a consistent state at the beginning and end of a transaction; there are never any half-completed transactions.
- Isolation: No transaction has access to any other transaction that is in an intermediate or unfinished state. Thus, each transaction is independent unto itself. This is required for both performance and consistency of transactions within a database.
- Durability: Once the transaction is complete, it will persist as complete and cannot be undone; it will survive system failure, power loss and other types of system breakdowns.
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acquisition
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action
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action potential
Electromotive potential propagated through electrochemical reactions in brief regenerative pulses along neural or muscle fibers. This electrical flow is divided into positive or excitatory impulses and negative or inhibitory impulses (E/I). The flow of action potential in the brain is chaotic. Keywords: weight spike Schwann cell resting potential relay Ranvier, nodes of quantal release pump permeability overshoot oligodendrocyte norepinephrine local potential impulse exocytosis endocytosis efferent E/I decay brain circuitry anticholinesterase afferent acetylcholine activation firing threshold chaos neuron hyperpolarization depolarization synapse neurotransmitter References: brain physiology fuzzy logic neural networks neurons neuroscience
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actionable
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actionable information
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activation
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adaptation
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adrenergic
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afferent
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agent
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AI
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algorithm
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ALife (Artificial Life)
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ambiguity
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amines
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amnesia
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amygdala
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analog
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analysis
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anaphora
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android
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ANS
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anticholinesterase
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anxiety
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aphasia
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API
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arborization
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architecture
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argument
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arity
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arousal
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ART
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association
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astrocyte
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asymptote
Keywords | References |
threshold | AI programming |
activation | algorithms automata |
spike | computing formalisms |
E/I | logic Rules |
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ATN
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ATP
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attention
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automata
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automated data processing
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autonomic nervous system
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autonomous computing agents
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autonomous land vehicle (ALV)
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axon
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axoplasm
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backpropagation
The Backpropagation Algorithm
- 1.
- Propagates inputs forward in the usual way, i.e.
- All outputs are computed using sigmoid thresholding of the inner product of the corresponding weight and input vectors.
- All outputs at stage n are connected to all the inputs at stage n+1
- 2.
- Propagates the errors backwards by apportioning them to each unit according to the amount of this error the unit is responsible for.
- input vector for unit j (xji = ith input to the jth unit)
- weight vector for unit j (wji = weight on xji)
- , the weighted sum of inputs for unit j
- oj = output of unit j ( )
- tj = target for unit j
- Downstream(j) = set of units whose immediate inputs include the output of j
- Outputs = set of output units in the final layer
- 1. For each unit k downstream from j, zk is a function of zj
- 2. The contribution to error by all units in the same layer as j is independent of wji
- Create a feed-forward network with ni inputs, nh hidden units, and no output units.
- Initialize all the weights to small random values (e.g., between -.05 and .05)
- Until termination condition is met, Do
- For each training example , Do
- 1. Input the instance and compute the output ou of every unit.
- 2. For each output unit k, calculate
- 3. For each hidden unit h, calculate
- 4. Update each network weight wji as follows:
- For each training example , Do
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BASE
- Basically Available: This constraint states that the system does guarantee the availability of the data as regards CAP Theorem; there will be a response to any request. But, that response could still be ‘failure’ to obtain the requested data or the data may be in an inconsistent or changing state, much like waiting for a check to clear in your bank account.
- Soft state: The state of the system could change over time, so even during times without input there may be changes going on due to ‘eventual consistency,’ thus the state of the system is always ‘soft.’
- Eventual consistency: The system will eventually become consistent once it stops receiving input. The data will propagate to everywhere it should sooner or later, but the system will continue to receive input and is not checking the consistency of every transaction before it moves onto the next one. Werner Vogel’s article “Eventually Consistent - Revisited” covers this topic is much greater detail.
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basket cells
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Bayes' Theorem
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Bayesian Network
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behavior
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belief
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Big Data
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binding
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blackboard
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boundaries
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BPM
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brain
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brain circuitry
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brain development
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brain stem
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branching
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Broca's area
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Brodmann
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business intelligence
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C/S
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canonical model
Canonical models are logical level semantic graphs, and can be used for both data and processes. "Canonical" implies a top-level prescribed set of rules that define orderliness and, when adhered to, oppose chaos. A canonical data model (CDM) defines the core content entities associated with a specific domain, their semantic meanings, attributes, and associations with other elements. A canonical process model describes top-level processes and sequences needed to comply and to accomplish a mission. Both canonical data and process models serve as reference models, forming abstract, general frameworks to support specific implementations.
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categorize
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causal relation
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cell
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central nervous system
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Central Processing Unit (CPU)
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cerebellum
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cerebrum
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certainty
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channel
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chaos
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cholinergic
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CISC
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citizen developer
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class
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classification
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climbing fibers
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Code
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cognition
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cognitive computing
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cognitive modeling
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Cognitive Science
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combinatorial explosion
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combinatorial explosion
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common sense
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communication
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composition
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comprehension
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computational linguistics
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computer
- A mechanical device used to automatically process data (not your brain - it's different)
- A Programmable Calculator
- A mobile phone or Pad device (iPad/Android)
- The thing that keeps your car, refrigerator, wristwatch and heart rhythm running
Keywords | References |
tools | AI programming |
GUI | algorithms |
architecture | automata |
software | computing |
RAM | formalisms |
program | logic |
design | rules |
C/S | |
algorithm | |
abacus | |
cybernetics | |
modeling | |
brain | |
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computing
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concept
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concept learning
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conceptual
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conceptual graph
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conclusion
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confidence
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connectionism
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Connectomics
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consciousness
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constraint
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context
- from Latin contextus: an assembling or putting together,
- from contexere: to interweave more than one thing,
- from com-: together + texere: to weave or braid
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context-free
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context-sensitive
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continuum
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convergence
- Voice and Data Convergence in which IP telephony is enabling telephone and wireless phone communications to share the same wires and bandwidth as data communications
- Structured and Unstructured Content Convergence in which databases (structured data) automatically mingle with documents, videos, images and sound files to bring users richer experiences.
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correlation
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cortex
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corticospinal tract
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creativity
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cue
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cybernetics
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cyberspace
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cytoarchitecture
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cytoplasm
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cytoskeleton
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data
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data processing
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data type
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data-driven
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database
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dead man's hand
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decay
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decision
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decision support system
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declarative knowledge
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declarative memory
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decomposition
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deductive reasoning
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Deep Language Understanding
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deixis
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dementia
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dendrite
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depolarization
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descriptive relation
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design
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determinism
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DevOps
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dichotomous logic
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diencephalon
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differentiation
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digital
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digital consumability
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dimension
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disambiguation
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discern
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discriminate
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distributed
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DNA
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domain
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dopamine
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dualism
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E/I
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eclecticism
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efferent
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Electrical Current
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eliminativism
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emotion
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empiricism
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endocytosis
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English
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Enterprise Knowledge Management (EKM)
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entropy
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environment
- A text editor to create computer program.
- A compiler to compile program into binary format.
- An interpreter to execute program directly.
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episodic knowledge
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epistemology
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equation
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ERP - Event Related Potential
- Evoked Response Potential: Electric flow in the brain resulting from some external stimuli
- Event Related Potential: Electric flow in the brain resulting from some external stimuli
- Enterprise Resource Planning: An amalgam of processes often associated with financial accounting, supply, demand, manufacturing, selling and/or fulfilling in commerce.
- Visual evoked response or potential (VER or VEP), which is when the eyes are stimulated by looking at a test pattern.
- Auditory brain stem evoked response or potential (ABER or ABEP), which is when hearing is stimulated by listening to a test tone.
- Somatosensory evoked response or potential (SSER or SSEP), which is when the nerves of the arms and legs are stimulated by an electrical pulse.
Keywords | References |
action potential | The Curve |
impulse | |
E/I |
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Every nation, kindred, tongue and people
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exception
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existential
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exocytosis
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expectations
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experience
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experiment
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expert system
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explanation utility
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explicit representation
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exposure
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expression
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expressiveness
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extra-sensory
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fact
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feature
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feedback
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filtering
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firing
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flip-flop
flip-flop
1) A politician changing his position
2) A single register in memory or a processor of a circuit, particularly an integrated circuit, is called a flip-flop. Transistors and gates are used to store a charge that represents 1 or 0 in digital logic.
3) Either a left or a right beach style sandal (ie. the singular of flip-flops)
Keywords | References |
memory Short-Term Memory | algorithms |
data data processing ADP | automata |
digital | computing |
dichotomous logic | logic |
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forget
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form
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formalism
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fractal
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frame
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frenetic
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function
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fusiform cells
fusiform cells
A type of neuron found in the cerebrum, characterized by different shapes (sorry for the vague definition – why don't you read about it in one of the pages here?).
Modeling Neural Interconnections
Varieties of Nerve Cells
Keywords | References |
cerebrum | brain physiology |
stellate cells | neurons |
basket cells | neuroscience |
neurogliaform | |
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fuzzy
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fuzzy logic
Keywords | References |
paradox | algorithms |
exception | associationism |
chaos | chaos |
constraint | connectionism |
confidence | fuzzy logic |
logic belief | neural networks |
multi-valued logic | learning |
determinism non-determinism | |
dichotomous logic | |
fuzzy AI | pattern recognition |
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gamification
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Gamma Oscillations
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generalization
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Generative Pretrained Transformers (GPT)
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genetic algorithms
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genetics
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GIGO
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gnostic
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Golgi cells
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governance
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graceful degradation
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grammar
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granularity
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granule cells
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gray matter
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GUI
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gyrus
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Hadoop
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heredity
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heuristic
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hierarchical relation
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hippocampus
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horizontal cells
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hybrid IT
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hypermnesia
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hyperpolarization
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hypertext
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hypothalamus
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iatric
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idiom
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image processing
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imagination
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impedance mismatch
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implicit representation
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impossible
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impulse
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inductive reasoning
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inference
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information
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inheritance
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innate
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input
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instinctive
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integration
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intelligence
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interaction
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intermediate filaments
Intermediate filaments are broadly discussed in Cytoskeleton Components in Cognition Axon and Dendrite Growth | |
Keywords | References |
cytoskeleton | brain physiology |
microtubules | neurons |
axoplasm | neuroscience |
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interpretation
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introspection
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intuition
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involuntary
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ion pump
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judgement
- A day when we all stand before the bar of God
- A "rational" decision based on evidence
- in a court of law
- in the course of deciding how to act, where to go, and how to respond to any possible situation
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kd (kilodalton)
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kinesthesia
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knowledge
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knowledge base
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knowledge representation
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knowledge worker
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language
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Large Language Model (LLM)
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laughter
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laughter
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learning
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lexical
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lexicon
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limbic system
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linear discrimination
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linear discriminator
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linguistics
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link
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local potential
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logic
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logical form
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logorrhea
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machine learning
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mamillary bodies
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MapReduce
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Martinotti
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meaning
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meaningful
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mechanical brain
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medulla
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memory
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meta-knowledge
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metabolism
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metadata
- Descriptive metadata tells about the content of the data and it's place in the data universe
- Lineage metadata tells where it came from and/or how it was derived
- Governance metadata tells about its sources of record and, in an organization, who is responsible for it
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metadata management
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metaphor
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metencephalon
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methodology
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metonymy
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microservices
- Are easily deployed.
- Require less production time.
- Can scale quickly.
- Can be reused among different projects.
- Work well with containers, such as Docker.
- Complement cloud activities."
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microtubules
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MIMD
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mind
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MIPUS
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mitochondrion
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mitosis
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model base
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modeling
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modularity
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modus ponens
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modus tollens
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morpheme
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morphology
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mossy fibers
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MT
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multi-valued logic
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munge
- to manipulate (raw data), especially to convert (data) from one format to another, or
- as a derogatory term meaning to poorly or tortuously transform disparate bits of information, or
- to completely recode a routine, data structure or program.
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myelin
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natural language
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Natural Language Understanding (NLU)
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nerve
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nerve fiber
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neural network
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neurite
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neuroanatomy
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neurocomputing
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neurode
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neuroglia
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neurogliaform
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neuromorphism
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Neuron
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NeuroPedia
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neurotransmitter
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NLP
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node
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noise
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non-determinism
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noosphere
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norepinephrine
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normalization
First normal form (1NF) is a minimal level of normalization in which the database:
- contains any number two-dimensional tables with rows and columns named to represent the core object;
- each table's columns contain data on the attributes of the core object and the column names usually name the attribute;
- each row or record in each table represents a unique instance of the core object or attribute and must contain at least one value different from any other row (no duplicate rows are allowed);
- All entries in any column must be of the data type (date fields must contain valid dates and amount fields must contain valid numbers).
Second normal form (2NF) is an intermediate level of normalization in which each column in a table that is not a determiner of the contents of another column, must itself be a function of the other columns in the table. For example, in a "Purchases" table with columns containing "Customer ID", "Product", and "Price", the price would be a function of the customer ID and the specific product and may be derived from a separate "Prices" table.
Third normal form (3NF) is the defacto standard for transactional database modeling (reporting databases are often "denormalized"). 3NF states that all columns in a table not dependent on the primary key should be removed from the table, and placed in a separate table or eliminated. Another way of putting this is that only foreign key columns should be used to reference another table, and no other columns from the parent table should exist in the referenced table.
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object
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object-oriented
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objective
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ODBMS
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olfactory
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oligodendrocyte
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ontology
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OOPS
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Open Web vs. Deep Web
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organelle
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organism
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output
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overloading
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overshoot
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OWL
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paleo-cortex
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paradigm
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paradox
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parallel computing
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parasympathetic
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parsing
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pathology
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pattern
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perception
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perceptron
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peripheral nervous system
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permeability
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personality
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phoneme
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phonetics
The analytical science of categorizing speech sounds, their production in humans and mechanical contraptions, and their representation in written symbols.
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phrase
- A a sequential group of two or more spoken or written words that form part of a sentence, impacting the interpretation of the surrounding language
- An idiom with commonly understood meaning and usage
- A complete sentence with only a single phrase
- A syntactic structure such as: "a noun phrase composed of determiners, adjectives, subordinate noun phrases and/or prepositional phrases"
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phrenology
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physiology
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polymorphism
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polysemy
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pons
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possibility
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possible
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pragmatics
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prediction
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premise
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probability
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problem
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procedural knowledge
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procedural memory
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process
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production system
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program
- A preestablished process for doing something (the twelve-step program)
- The act of writing instructions for a computer
- A set of instructions for a computer or a computer application
- A large, deep hole into which a government can dump money indiscriminately
- A show on the television
- A regimen
-
a planned series of future events, items, or performances. "a weekly program of films"
-
a presentation or item on radio or television, especially one broadcast regularly between stated times. "a nature program"
synonyms: broadcast, production, show, presentation, transmission, performance, telecast "a television program" -
dated: a radio or television service or station providing a regular succession of programs on a particular frequency; a channel.
-
-
a series of coded software instructions to control the operation of a computer or other machine.
-
provide (a computer or other machine) with coded instructions for the automatic performance of a particular task. "it is a simple matter to program the computer to recognize such symbols"
-
write computer programs. "I've programmed for 25 years and have used many languages"
-
input (instructions for the automatic performance of a task) into a computer or other machine. verb: programme; 3rd person present: programmes "simply program in your desired volume level"
-
cause (a person or animal) to behave in a predetermined way. "all members of a particular species are programmed to build nests in the same way"
-
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programming
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programming language
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property
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proposition
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psyche
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psychology
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psychosis
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pump
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Purkinje
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pyramidal cells
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qualitative insight
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quantal release
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quantifiers
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quantitative insight
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RAM
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random
Definitions | References |
self-similarity fractalchaos | |
continuum probabilityinference | |
stochastic chaoslogic | |
dead man's hand | probability |
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range
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Ranvier, nodes of
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RAS
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RDF - Resource Description Framework
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reason
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reasoning
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recall
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receptive field
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recognition
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recursive
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reflex
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register
AX
, BX
, CX
, DX
, SI
, DI
, BP
, and SP
. The least significant 8 bits of the first four of these registers are accessible via the AL
, BL
, CL
, and DL
in all execution modes. In 64-bit mode, the least significant 8 bits of the other four of these registers are also accessible; these are named SIL
, DIL
, SPL
, and BPL
. The most significant 8 bits of the first four 16-bit registers are also available, although there are some restrictions on when they can be used in 64-bit mode; these are named AH
, BH
, CH
, and DH
.
The 80386 extended these registers to 32 bits while retaining all of the 16-bit and 8-bit names that were available in 16-bit mode. The new extended registers are denoted by adding a E prefix; thus the core eight 32-bit registers are named EAX
, EBX
, ECX
, EDX
, ESI
, EDI
, EBP
, and ESP
. The original 8-bit and 16-bit register names map into the least significant portion of the 32-bit registers.
64-bit long mode further extended these registers to 64 bits in size by adding a R prefix to the 16-bit name; thus the base eight 64-bit registers are named RAX
, RBX
, etc. Long mode also added eight extra registers named numerically r8
through r15
. The least significant 32 bits of these registers are available via a d suffix (r8d
through r15d
), the least significant 16 bits via a w suffix (r8w
through r15w
), and the least significant 8 bits via a b suffix (r8b
through r15b
).
The figure below summarizes the full 64-bit x86 general purpose register set.
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regular
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relation
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relay
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representation
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response
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Rete algorithm
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RISC
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RNA
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robot
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robotics
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robust
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rule
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rule base
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sample space
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schemata
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Schwann cell
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search
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segmentation
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self
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self-similarity
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semantic network
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semantic tagging
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semantics
- The study of meaning and roles in words and sentences.
- Semantic constraints tell us what roles words can and cannot play. Some roles are AGENT, INSTRUMENT, OBJECT, and ACTION. To be an action, a word or phrase must be a verb. Agents and objects are nominal.
- An argument that relies on word meanings in isolation without capturing the broader context
Keywords | References |
sememe | comprehension |
pragmatics | context |
MT | information/entropy |
syntax | linguistic strata |
language | natural language |
linguistics | semantics |
meaningful | syntax |
expressiveness | words/morphology |
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sememe
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semiotics
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sense
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sensory
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sensory transduction
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sentence
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sentient
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Service-Oriented Architecture
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services
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short-term memory
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SIMD
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slicing and dicing
- A process often used in kitchens involving knives or small electric appliances to reduce the size of edibles
- A process used in Business Intelligence (BI) and analytics to change the view, add or remove details, or rearrange the data to make it easier for humans to analyze. Sometimes considered synonymous with filtering and sorting.
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SME - subject matter expert
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SOA
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software
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soma
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somatosensory cortex
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space
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SPARQL
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specialization
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spike
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spinal cord
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SQL (Structured Query Language)
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standard deviation
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state space
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statistical analysis
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stellate cells
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stimulus
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stochastic
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strata
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string
- A theory about how the universe works (see String Theory or Super String Theory)
- Something the cat likes to play with
- A sequence of symbols that are intended to represent meaning in one dimension
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structure
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subconscious
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subjective
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subliminal
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sulcus
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support vector machine
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survival
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syllogism
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symbol
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symbolic logic
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symmetry
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synapse
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synaptic vesicle
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syncretism
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synecdoche
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syntax
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synthesis
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systaltic array
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systaltic array
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systolic array
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tactile agnosia
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taxonomy
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telecosm
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thalamus
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thalamus
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theory
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think
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thought
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threshold
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time
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tools
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translation
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uncertainty
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understanding
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Unstructured Content
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voice recognition
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volition
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weight
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Wernicke's area
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white matter
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word
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workflow
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Yorrick
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zygote
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