Skill Acquisition : Compilation of Weak-Method Problem Solutions

Cognitive skills are encoded by a set of productions, which are organized according to a hierarchical goal structure. People solve problems in new domains by applying weak problem-solving procedures to declarative knowledge they have about this domain. From these initial problem solutions, production rules are compiled that are specific to that domain and that use of the knowledge. Numerous experimental results may be predicted from this conception of skill organization and skill acquisition. These include predictions about transfer among skills, differential improvement on problem types, effects of working memory limitations, and applications to instruction. The theory implies that all varieties of skill acquisition, including those typically regarded as inductive, conform to this characterization.

[1]  Thomas G. Dietterich What is machine learning? , 2020, Archives of Disease in Childhood.

[2]  Tom Routen,et al.  Intelligent Tutoring Systems , 1996, Lecture Notes in Computer Science.

[3]  Allen Newell,et al.  Heuristic programming: ill-structured problems , 1993 .

[4]  R. Horton Rules and representations , 1993, The Lancet.

[5]  Douglas L Medin,et al.  The Psychology of Learning and Motivation: Volume 30 , 1993 .

[6]  Yves Kodratoff,et al.  Learning by Analogy , 1989 .

[7]  John R. Anderson,et al.  A Keystroke Analysis of Learning and Transfer in Text Editing , 1987, SGCH.

[8]  Herbert A. Simon,et al.  THE MIND'S EYE IN CHESS , 1988 .

[9]  L M Reder,et al.  The role of elaborations in learning a skill from an instructional text , 1985, Memory & cognition.

[10]  David E. Kieras,et al.  An Approach to the Formal Analysis of User Complexity , 1999, Int. J. Man Mach. Stud..

[11]  James L. McClelland Putting Knowledge in its Place: A Scheme for Programming Parallel Processing Structures on the Fly , 1988, Cogn. Sci..

[12]  David Zipser,et al.  Feature Discovery by Competive Learning , 1986, Cogn. Sci..

[13]  Keith J Holyoak,et al.  Pragmatic reasoning schemas , 1985, Cognitive Psychology.

[14]  D. Klahr Solving Problems with Ambiguous Subgoal Ordering: Preschoolers' Performance. , 1985 .

[15]  P. Pirolli,et al.  The role of learning from examples in the acquisition of recursive programming skills. , 1985 .

[16]  John R. Anderson,et al.  Novice LISP Errors: Undetected Losses of Information from Working Memory , 1985, Hum. Comput. Interact..

[17]  Elliot Soloway,et al.  From Problems to Programs via Plans: The Content and Structure of Knowledge for Introductory LISP Programming , 1985 .

[18]  John R. Anderson,et al.  The Transfer of Text-Editing Skill , 1985, Int. J. Man Mach. Stud..

[19]  David E. Kieras,et al.  A quantitative model of the learning and performance of text editing knowledge , 1985, CHI '85.

[20]  John R. Anderson,et al.  Discrimination of operator schemata in problem solving: Learning from examples , 1985, Cognitive Psychology.

[21]  David E. Kieras,et al.  The Acquisition of Procedures from Text: A Production-System Analysis of Transfer of Training. Technical Report No. 16. , 1985 .

[22]  L. Huling-Austin,et al.  Acquiring expertise. , 1985, The Diabetes educator.

[23]  Geoffrey E. Hinton,et al.  A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..

[24]  Steven Pinker,et al.  Language learnability and language development , 1985 .

[25]  R. A. Carlson,et al.  A case of syntactical learning and judgment: How conscious and how abstract? , 1984 .

[26]  John R. Anderson,et al.  The Role of Mental Models in Learning to Program. , 1984 .

[27]  Allen Newell,et al.  Towards Chunking as a General Learning Mechanism , 1984, AAAI.

[28]  John R. Anderson,et al.  Cognitive principles in the design of computer tutors , 1984 .

[29]  John R. Anderson,et al.  Learning to Program in LISP , 1984, Cogn. Sci..

[30]  John R. Anderson,et al.  The effects of information order and learning mode on schema abstraction , 1984, Memory & cognition.

[31]  Allen Newell,et al.  A Universal Weak Method: Summary of Results , 1983, IJCAI.

[32]  John R. Anderson,et al.  Learning to Program , 1983, IJCAI.

[33]  Ryszard S. Michalski,et al.  A Theory and Methodology of Inductive Learning , 1983, Artif. Intell..

[34]  Kurt Van Lehn,et al.  Felicity conditions for human skill acquisition: validating an al-based theory , 1983 .

[35]  Allen Newell,et al.  The psychology of human-computer interaction , 1983 .

[36]  J. Fodor The Modularity of mind. An essay on faculty psychology , 1986 .

[37]  Allen and Rosenbloom Paul S. Newell,et al.  Mechanisms of Skill Acquisition and the Law of Practice , 1993 .

[38]  Tom M. Mitchell,et al.  Generalization as Search , 2002 .

[39]  John R. Anderson Acquisition of cognitive skill. , 1982 .

[40]  K. A. Ericsson,et al.  Skill and Working Memory , 1982 .

[41]  John R. Anderson,et al.  The effects of category generalizations and instance similarity on schema abstraction. , 1981 .

[42]  J. Marshall This is psychology? , 1981, Nature.

[43]  D. Norman Categorization of action slips. , 1981 .

[44]  Patrick Henry Winston,et al.  Learning and reasoning by analogy , 1980, CACM.

[45]  Herbert A. Simon,et al.  Models of Competence in Solving Physics Problems , 1980, Cogn. Sci..

[46]  Kurt VanLehn,et al.  Repair Theory: A Generative Theory of Bugs in Procedural Skills , 1980, Cogn. Sci..

[47]  Robin Jeffries,et al.  The Processes Involved in Designing Software. , 1980 .

[48]  John R. Anderson,et al.  Knowledge Compilation: Mechanisms for the Automatization of Cognitive Skills. , 1980 .

[49]  John R. Anderson,et al.  A Comparison of Texts and their Summaries: Memorial Consequences. , 1980 .

[50]  John R. Anderson Cognitive Psychology and Its Implications , 1980 .

[51]  Kenneth Wexler,et al.  Formal Principles of Language Acquisition , 1980 .

[52]  Howard E. Shrobe,et al.  Initial Report on a Lisp Programmer's Apprentice , 1978, IEEE Transactions on Software Engineering.

[53]  Steven A. Vere,et al.  Induction of Relational Productions in the Presence of Background Information , 1977, IJCAI.

[54]  Walter Schneider,et al.  Controlled and Automatic Human Information Processing: 1. Detection, Search, and Attention. , 1977 .

[55]  Herbert H. Clark,et al.  Semantics and comprehension , 1976 .

[56]  John R. Anderson Language, Memory, and Thought , 1976 .

[57]  A. Reber Implicit learning of synthetic languages: The role of instructional set. , 1976 .

[58]  Allen Newell,et al.  Production Systems: Models of Control Structures , 1973 .

[59]  Richard C. Anderson,et al.  Conditions under which feedback facilitates learning from programmed lessons. , 1972 .

[60]  Rob Kling,et al.  A Paradigm for Reasoning by Analogy , 1971, IJCAI.

[61]  G. Seth Psychology of Language , 1968, Nature.

[62]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[63]  Edward L. Thorndike,et al.  The psychology of wants, interests, and attitudes , 1936 .

[64]  H. A. Carroll The Theory of Identical Elements. , 1929 .

[65]  Robert H. Taylor,et al.  Immune checkpoint inhibitor therapy and outcomes from SARS-CoV-2 infection in patients with cancer: a joint analysis of OnCovid and ESMO-CoCARE registries , 2022, Immuno-Oncology and Technology.

[66]  C. Myers Educational Psychology , 1904, Nature.