Thinking Naturally about Uncertainty

Thinking Naturally about Uncertainty

Methods for handling uncertainty should be evaluated in terms of their cognitive compatibility with real-world decision makers. Bayesian models of uncertainty demand precise up-front assessments of all problem elements and discourage the dynamic evolution of problem understanding. They handle missing or conflicting data by mathematical aggregation, while realworld decision makers regard gaps in...

Thinking slow about thinking fast

In his book, Thinking, Fast and Slow, Daniel Kahneman attributes experientially-learned real-world coping skills to an " associative machine " acting on declarative memories of facts and events. While this attribution is probably correct for the unfamiliar types of situations that are the subject of his famous experiments conducted with Amos Tversky, we argue that experientially-learned real-wo...

Dimensions for Thinking About Thinking

We start by making a distinction between mind and cognition, and by positing that cognition is an aspect of mind. We propose as a working hypothesis a Separability Hypothesis which posits that we can factor off an architecture for cognition from a more general architecture for mind, thus avoiding a number of philosophical objections that have been raised about the "Strong AI" hypothesis. We the...

Critical Thinking about 'critical Thinking'

Computational thinking and thinking about computing

Computational thinking will influence everyone in every field of endeavour. This vision poses a new educational challenge for our society, especially for our children. In thinking about computing, we need to be attuned to the three drivers of our field: science, technology and society. Accelerating technological advances and monumental societal demands force us to revisit the most basic scienti...