Category Archives: Technology
05 Apr Knowing About Agents and Instruments
Cause and Effect Causal knowledge can be learned by experience, as described in our friend Yorrick’s early experiences with the source of good feelings (Section 4: Seeds of Knowledge). The process of learning from experience is empirical and very fuzzy, meaning it is difficult to describe or replicate the learning process artificially. Cause can also […]
01 Apr Generating and Qualifying Propositions
What are the limits of reasoning? Is it possible to reduce every cognitive activity (telling time, falling in love, inventing rockets…) to a set of premises and conclusions: propositions? LITTLE ANIMALS ARE FURRY is a very simple proposition. Can intelligence be defined by the complexity of the sequence of propositions we can balance in evaluating a situation? I […]
31 Mar Truth, Belief and Confidence
Establishing frameworks for truth, belief and confidence can be part of raising a child and part of building a more intelligent system. Parents in households of faith often feel a compelling need to teach their children about things that are outside the realm of scientific discovery. In espionage, intelligence analysts review information collected by agents, electronic snoops, and […]
28 Mar Is Everything Black or White?
We have exercised our abstract ideas about that which is too big and chaotic for us to understand (everything), let’s take a glimpse at that which is so small and chaotic that we may never really figure it out: the workings of the mind. In the next few posts, we will examine different forms of logical […]
27 Mar Cognition and Emotion
I’m conflicted. I suspect you are too. “Since the time of the ancient Greeks, humans have found it compelling to segregate reason from passion, thinking from feeling, cognition from emotion. These contrasting aspects… have in fact often been viewed as waging an inner battle for control of the human psyche” (LeDoux, 1996, p. 24). In earlier […]
26 Mar Bayes and Search Theory
What began as a study of belief has turned into a strategy for solving very complex problems. Thomas Bayes (/ˈbeɪz/; 1701–1761) proposed a model in which adding evidence of different types, or from different sources, to a problem will change the calculated probabilities for the outcomes of the “reasoning” process. We’ve forgotten what he looked like, […]
25 Mar Generalization and Inference
What do you do when you encounter something completely new, such as a new flavor. Can you identify that it is a flavor and that it resembles some flavors you’ve encountered before? If you knew about bridges from experience, but had never seen a drawbridge, or a lift bridge or a covered bridge, would you be able […]