The cognitive processes in a widely used, nonverbal test of analytic intelligence, the Raven Progressive Matrices Test (Raven, 1962), are analyzed in terms of which processes distinguish between higher scoring and lower scoring subjects and which processes are common to all subjects and all items on the test. The analysis is based on detailed performance characteristics, such as verbal protocols, eye-fixation patterns, and errors. The theory is expressed as a pair of computer simulation models that perform like the median or best college students in the sample. The processing characteristic common to all subjects is an incremental, reiterative strategy for encoding and inducing the regularities in each problem. The processes that distinguish among individuals are primarily the ability to induce abstract relations and the ability to dynamically manage a large set of problemsolving goals in working memory.In this article, we analyze a form of thinking that is prototypical of what psychologists consider to be analytic intelligence. We use the term analytic intelligence to refer to the ability to reason and solve problems involving new information, without relying extensively on an explicit base of declarative knowledge derived from either schooling or previous experience. In the theory of R. Cattell (1963), this form of intelligence has been labeled fluid intelligence and has been contrasted with crystallized intelligence, which more directly reflects the previously acquired knowledge and skills that have been crystallized with experience. Thus, analytic intelligence refers to the ability to deal with novelty, to adapt one's thinking to a new cognitive problem. In this article, we provide a theoretical account of what it means to perform well on a classic test of analytic intelligence, the Raven Progressive Matrices Test (Raven, 1962).We describe a detailed theoretical model of the processes used in solving the Raven test, contrasting the performance of college students who are less successful in solving the problems with those who are more successful. The model is based on multiple dependent measures, including verbal reports, eye fixations, and patterns of errors on different types of problems. The experimental investigations led to the development of computer simulation models that test the sufficiency of our analysis. Two This work was supported in part by Contract N00014-89-J-1218 from the Office of Naval Research and by Research Scientist Development Awards MH-00661 and MH-00662 from the National Institute of Mental Health. The simulation models were programmed by Peter Shell and Craig Bearer.We are grateful to Earl Hunt, David Klahr, Kenneth Kotovsky, Allen Newell, James Pellegrino, Herbert Simon, and Robert Sternberg for their constructive comments on drafts of the manuscript. We also want to acknowledge the help of David Fallside in implementing and analyzing the Tower of Hanoi experiment.Correspondence concerning this article should be addressed to Patricia A. Carpenter, Department of Psychology, Carnegie...