linkedin facebook twitter rss

17 Dec Visualizing Knowledge

Visualizations on multiple devices

Visualizing Knowledge – Automatic Generation Words are so symbolic that even symbolic thinkers, like me, understand more when there’s a picture to go along with the words. is partly explains my crazy use of images in this blog. The various forms of graphical representations are superb inventions that enable us to view and understand mathematical data […]

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 […]

28 Jul Patterns in the Mind

Learning Head

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. […]

24 Jul Pattern Classification in Space

Deep Space over the Water

Pattern Classification Visual patterns can be recognized and classified based on prior knowledge: I see that this hairy animal has four legs and is about the same size as my dog, so I’ll assume it is (or classify it as) a dog. This may not be a correct classification, but it’s more correct than classifying it […]

07 Jul SPARQL Fireworks

Sparkler

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

Reactive vs Transformational Systems

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

Cybersphere

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 […]

23 Jun Information Transformation

Inachis Io Chrysalis Transform

Information Exchange and Transformation Knowledge does the most good when shared. Knowledge that gets lodged in one place may not be particularly useful to many people. But moving digital information from place to place has its dangers. Automating data movement can introduce security or confidentiality issues, data duplication challenges, as well as raising the specter of […]

16 Jun Genetic Cross-Pollination

Pollination

Cross Pollination Many approaches exist for simulating intelligent behavior on computers. In the past, the most popular approach was to focus on developing a technique and applying it to a problem. Most basic research has focused on single paradigms and their properties. Sometimes, however, in domains where multiple approaches to problem solving are possible, some […]