Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …

How can anyone be rational in a world where knowledge is limited, time is pressing, and
deep thought is often an unattainable luxury? Traditional models of unbounded rationality …

In this response, we clarify several misunderstandings of the understanding/acceptance
principle and defend our specific operationalization of that principle. We reiterate the …

Some regularities enjoy only an attenuated existence in a body of training data. These are
regularities whose statistical visibility depends on some systematic recoding of the data. The …

This article has two goals. The first is to assess, in the face of accruing reports on the
ingenuity of great ape tool use, whether and in what sense human tool use still evidences …

This paper examines the strengths and weaknesses of one of science's most pervasive and
flexible metaprinciples; optimality is used to explain utility maximization in economics, least …

This article is a synopsis of a triarchic theory of human intelligence. The theory comprises
three subtheories: a contextual subtheory, which relates intelligence to the external world of …

It is argued that the traditional distinction between artificial intelligence and cognitive
simulation amounts to little more than a difference in style of research~ a different ordering in …

Across many domains of decision making, people seem both rational and irrational. We
review recent work that aims to reconcile these apparently contradictory views by modeling …

Recent decades have seen a number of influential attacks on the comparative psychology of
learning and intelligence. Two specific charges have been that the use of distantly related …