Category Archives: Ontology
08 Aug The Fourth Dimension
To everything, turn, turn, turn, there is a season… Time is a fundamental and omnipresent element of context. It goes intrinsically with space, so much so, that we sometimes hear about a “time-space continuum” in which all things occur. Space and time are relevant to brain processes: electrical potential moves through physical pathways and brain […]
02 Aug Artificial Time
Time is omnipresent – you can’t get away from it. It is woven into everything we do and say and understand. It is an inextricable element of context. I was just speaking of how the connections in our brain develop, grow and evolve over time. Representing and handling this “temporal” element is fundamental to any […]
28 Jul Patterns in the Mind
As we look for suitable solution designs for representing the knowledge and processes we humans use to communicate, we realize that we have no idea what knowledge in the brain looks like. Further, we only have relatively vague ideas about the processes that occur in the brain as we produce and comprehend words, phrases and sentences. […]
26 Jul Parallel Distributed Pattern Processing
PDP Networks We have discussed recognition processes in the brain. Connectionism, a fundamentally implicit approach to neural modeling, was championed by the parallel distributed processing (PDP) group. PDP networks use many interconnected processing elements (PEs) that, according to the PDP Group, configure themselves to match input data with “minimum conflict or discrepancy” (Rumelhart & McClelland, 1986, Vol. 2, […]
22 Jul Context Collapse: Communication Without Boundaries
In social media, “Context is everything” – says Danna Boyd. And although she is completely correct, the picture is much larger than just social media. In all media, and all communication, context is essential to understanding (Video). Los Angeles Clippers Owner, Donald Sterling was stung and surprised by the fact that his recorded statements indicted him as […]
15 Jul From Perception and Learning to Logic
Perception and Learning I am not a cognitive scientist, so all I have said in this section is based on the work of others. On the other hand, I have probably spent more time seriously studying cognition than most computer geeks, and I have tried to form my perspectives around the best of our knowledge. The […]
07 Jul SPARQL Fireworks
How do you get at knowledge in conceptually structured information stores such as graphs? There are multiple ways to get data and information in broad use today. The most common is Structured Query Language (SQL) which is used as the almost universal access formalism for getting, storing and manipulating data in relational databases. An emerging standard […]
03 Jul Do Yawl do Petri Nets
Where do you draw a line? In geometry, digital theory, language and time, patterns tend to be linear: they bear distinct sequences. The sequences in these domains either contribute to the meaningfulness of the patterns, or, in the case of time, are the foundation of the patterns. Any logic that focuses on these sequential patterns is linear logic. Temporal Logic […]
26 Jun The Semantic Web and Model Owls
Standards protect us and constrain us — not like a straight-jacket protects us from ourselves, but more like a governor on the motor protects us from going crazy. Standards organizations such as the Worldwide Web Consortium (W3C) are there to coordinate between stakeholders to develop a common way of structuring things. The Object Management Group (OMG) is a […]
10 Jun Survival of the Fittest Knowledge
Genetic Algorithms in Search I think we can safely assume that intelligent applications, including accurate language interpreters and translators, will possess large amounts of knowledge to be processed and searched. Genetic algorithms are great for searching for obscure data in massive search spaces. The mechanism for association in computers can be defined as searching, just as humans describe their […]