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10 Dec Measuring Knowledge

Measuring Knowledge

Sometimes you need to know about your knowledge. When you’re in the middle of trying to build a system that knows stuff, you may ask, how much does the system know after this training or learning cycle as a percent of the total knowable amount? When we test students in their learning cycles, we use a […]

26 Nov Planning and Scheming

Paint a Brain

Select a Knowledge Representation (KR) Scheme In prior posts I have been describing the steps of building knowledge systems. A major part of Step 3: Task 1 is defining how to store knowledge – selecting a scheme. Giarratano and Riley (1989) suggest making the selection of a scheme, such as rules, frames or logic, dependent upon […]

20 Nov Identifying and Acquiring Knowledge

Key To Knowledge

One of the simplest knowledge systems is a photograph. It consists of a systematically arranged collection of pixels and its design is based almost completely on framing and focusing. Specifying knowledge software involves framing the knowledge domain and focusing on the aspects that are meaningful to users, and the constraints that affect meaning. By so saying, […]

15 Nov Planning a Knowledge Project

Gantt Chart

Deliverables and the Business Case If you are a developer, a project manager, or a project sponsor of an expert system (Weiss 1984) or knowledge-based engineering project, it is very important to know early what the deliverables will be for everyone involved. Even in agile projects, where detailed requirements evolve through the course of development, […]

28 Oct Chemicals And Cognitive Performance

Lightning Brain

Outside Influences Mind-altering chemicals, stimulants, depressants and hallucinogens to name a few, affect the entire process of cognition, from receiving and processing input, through recognition and reasoning. They often even improve or impair our ability to act, affecting everything from muscle performance to language production and comprehension. Bacteria and viruses can also impact people. Things that come from outside […]

27 Oct The Nature of Innovative Thinking

Mental Exploration The shape of the world changed radically when folks from the eastern and western hemispheres became aware of one another and of their respective geographies. The Age of Exploration (AKA the Age of Discovery) was amazing – or should I say “it is amazing”? While the focus has changed from continents and cultures, to galaxies […]

21 Oct Fuzzy Interconnectedness

Phone Brain

Fuzzy and Interconnected Techniques Section 5 suggests that the software of cognition is very fuzzy and able to operate efficiently even without having complete or totally accurate information. We said that we want to replicate that flexibility. We spoke in Section 7 about different fuzzy approaches for representing and processing information. These approaches include artificial […]

18 Oct Coefficient of Bureaucratic Drag

Body Language R

Moving into a Knowledge Economy It has been suggested that in the current era, all major companies are “knowledge” companies. Whether or not this is true for all companies, many corporate leaders and workers understand that knowledge is power. Today, the best thing most companies can do with technologies is to empower knowledge workers with more information, and […]

17 Oct Neural Conceptual Dependency

Representing Conceptual Graphs

Conceptual Dependency Much of this blog has been about knowledge representation: how the brain might learn and process it, how cognitive functions treat knowledge, and now, how computers may store and process it. Conceptual structures and conceptual dependency theories for computation have been useful for categorizing and representing knowledge in intuitively simple and cognitively consistent […]

14 Oct Knowledge in Non-Neural Models

Concept Graph

Non-Neural Models So far we have examined a number of models that are explicitly designed to be neuromorphic. This categorization is useful for two reasons: the apparent chaos or non-deterministic functioning of the brain is represented by these models; and neural networks explicitly use large numbers of distributed processors or neurodes that each contribute to […]