John R. Anderson

John Robert Anderson (born August 27, 1947) is a Canadian-born American psychologist. As of 2024, he is professor of psychology and computer science at Carnegie Mellon University.

Biography Anderson obtained a B.A. from the University of British Columbia in 1968, and a Ph.D. in Psychology from Stanford in 1972. He became an assistant professor at Yale in 1972. He moved to the University of Michigan in 1973 as a Junior Fellow (and married Lynne M. Reder who was a graduate student there) and returned to Yale in 1976 with tenure. He was promoted to full professor at Yale in 1977 but moved to Carnegie Mellon University in 1978. From 1988 to 1989, he served as president of the Cognitive Science Society. He was elected to the American Academy of Arts and Sciences and the National Academy of Sciences and has received a series of awards: 1968: Governor General's Gold Medal: Graduated as top student in Arts and Sciences at University of British Columbia 1978: Early Career Award of the American Psychological Association 1989–1994: Research Scientist Award, NIMH 1994: American Psychological Association's Distinguished Scientific Career Award 1999: Elected to the National Academy of Sciences 1999: Fellow of American Academy of Arts and Sciences 2004: The David E. Rumelhart Prize, for Contributions to the Formal Analysis of Human Cognition 2005: Howard Crosby Warren Medal for outstanding achievement in Experimental Psychology in the United States and Canada, Society of Experimental Psychology 2006: Inaugural Dr. A.H. Heineken Prize for Cognitive Science awarded by the Royal Netherlands Academy of Arts and Sciences 2011: Benjamin Franklin Medal in Computer and Cognitive Science, Franklin Institute "for the development of the first large-scale computational theory of the process by which humans perceive, learn and reason, and its application to computer tutoring systems." 2016: Atkinson Prize from the National Academy of Sciences.

Research In cognitive psychology, John Anderson is widely known for his cognitive architecture ACT-R and rational analysis. He has published many papers on cognitive psychology, including recent criticism of unjustified claims in mathematics education that lack experimental warrant and sometimes (in extreme cases) contradict known findings in cognitive psychology.

He was also an early leader in research on intelligent tutoring systems, such as cognitive tutors, and many of Anderson's former students, such as Kenneth Koedinger and Neil Heffernan, have become leaders in that area.

Intelligent tutoring systems Anderson's research has used fMRI brain imaging to study how students learn with intelligent tutoring systems. Most of his studies have looked at neural processes of students while they are solving algebraic equations or proofs.

Anderson and colleagues generated a cognitive model that predicted that while students were learning an algebra proof, neuroimages showed decreased activation in a lateral inferior prefrontal region and a predefined fusiform region. This decrease in activity showed an increased fluency in retrieving declarative information, as students required less activity in these regions to solve the problems.

Decomposition Hypothesis In another study, Anderson and colleagues used a video game task to test the Decomposition Hypothesis, or the idea that a complex cognitive task can be broken down into a set of information processing components. The combination of these components remains the same across different tasks. The study used a cognitive model that predicted behavioral and activation patterns for specific regions in the brain.

The predictions involved both tonic activation, which remained stable across brain regions during game play, and phasic activation, which was present only when there was resource competition. The study's results supported the Decomposition Hypothesis. Individual differences were also found in participants' learning gains, which indicated that the rate of learning for a complex skill is dependent on cognitive capacity limits.

Publications 1976. Language, memory, and thought. Hillsdale, NJ: Lawrence Erlbaum Associates. 1980. Cognitive psychology and its implications. San Francisco: Freeman. Eighth edition, Worth Publishers, 2014. 1983. The architecture of cognition. Cambridge, MA: Harvard University Press. 1990. The adaptive character of thought. Hillsdale, NJ: Lawrence Erlbaum Associates. 2000. Learning and Memory: An Integrated Approach. Wiley. 2007. How can the human mind occur in the physical universe? New York: Oxford University Press.