Biases in judgment reveal some heuristics of thinking about uncertainty. Three heuristics are discussed. (Author/RH)

Discusses an alternative approach to intelligence tests as a measure of intelligence. The approach is based on three classes of performance dealing with a person's choice of an internal representation for a problem, strategies for manipulating the representation, and abilities to execute elementary information processing steps required by the…

Presents evidence that the psychological principles that govern the perception of decision problems and evaluation of probabilities and outcomes produce predictable shifts of preference when the same problem is framed in different ways. (Author/SK)

Describes an artificial intelligence system known as SOAR that approximates a theory of human cognition. Discusses cognition as problem solving, working memory, long term memory, autonomy and adaptability, and learning from experience as they relate to artificial intelligence generally and to SOAR specifically. Highlights the status of the…

Highlights findings from cognitive science which suggest new approaches for science and mathematics instruction, addressing role of naive theories and qualitative understanding of situations in problem-solving. Also considers nature of the learner based on the findings. (JN)

Traces the history and function of State, Operator, And Result (SOAR), a general-purpose artificial intelligence program for solving problems. The SOAR can "chunk" the result of a subgoal and learn from previous experiences. The SOAR could be applied to various expert systems. (YP)

Describes the current states of artificial intelligence in education and assesses probable future developments and problems. Reviews the National Science Foundation's strategy to aid research in the area. (JM)