Inductive rule learning on the knowledge level
暂无分享,去创建一个
[1] S. Ohlsson,et al. Constraint relaxation and chunk decomposition in insight problem solving , 1999 .
[2] Michael A. Covington,et al. Natural Language Processing for Prolog Programmers , 1993 .
[3] John R. Anderson,et al. Tower of Hanoi: evidence for the cost of goal retrieval. , 2001, Journal of experimental psychology. Learning, memory, and cognition.
[4] Elliot Soloway,et al. Studying the Novice Programmer , 1988 .
[5] Gordon Plotkin,et al. A Note on Inductive Generalization , 2008 .
[6] R. Mike Cameron-Jones,et al. Induction of logic programs: FOIL and related systems , 1995, New Generation Computing.
[7] Ron Sun,et al. The importance of cognitive architectures: an analysis based on CLARION , 2007, J. Exp. Theor. Artif. Intell..
[8] Susumu Katayama. Systematic search for lambda expressions , 2005, Trends in Functional Programming.
[9] Hector Geffner,et al. Learning Generalized Policies in Planning Using Concept Languages , 2000, KR.
[10] Noam Chomsky,et al. वाक्यविन्यास का सैद्धान्तिक पक्ष = Aspects of the theory of syntax , 1965 .
[11] Phillip D. Summers,et al. A Methodology for LISP Program Construction from Examples , 1977, J. ACM.
[12] H. Simon,et al. Why are some problems hard? Evidence from Tower of Hanoi , 1985, Cognitive Psychology.
[13] Allen Newell,et al. The chunking of goal hierarchies: a generalized model of practice , 1993 .
[14] Ute Schmid,et al. Analysis and Evaluation of Inductive Programming Systems in a Higher-Order Framework , 2008, KI.
[15] Alex S. Taylor,et al. Machine intelligence , 2009, CHI.
[16] J. Gregory Trafton,et al. Memory for goals: an activation-based model , 2002, Cogn. Sci..
[17] John R. Anderson,et al. Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-paced Tower of Hanoi , 2005, Journal of Cognitive Neuroscience.
[18] Alan W. Biermann,et al. Automatic Program Construction Techniques , 1984 .
[19] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[20] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[21] M. Braine,et al. On learning the grammatical order of words. , 1963, Psychological review.
[22] Emanuel Kitzelmann,et al. A Combined Analytical and Search-Based Approach for the Inductive Synthesis of Functional Programs , 2011, KI - Künstliche Intelligenz.
[23] G. Marcus. The Algebraic Mind: Integrating Connectionism and Cognitive Science , 2001 .
[24] Zohar Manna,et al. How to clear a block: A theory of plans , 2004, Journal of Automated Reasoning.
[25] H. Simon,et al. Models of Bounded Rationality: Empirically Grounded Economic Reason , 1997 .
[26] Paolo Traverso,et al. Automated Planning: Theory & Practice , 2004 .
[27] Noam Chomsky. Review of B.F. Skinner, Verbal Behavior , 1959 .
[28] N. Goodman. Fact, Fiction, and Forecast , 1955 .
[29] Mariëtte Huizinga,et al. Tower of Hanoi disk-transfer task: Influences of strategy knowledge and learning on performance , 2005 .
[30] Craig A. Kaplan,et al. In search of insight , 1990, Cognitive Psychology.
[31] Allen Newell,et al. The Knowledge Level , 1989, Artif. Intell..
[32] Steven Minton,et al. Selectively Generalizing Plans for Problem-Solving , 1985, IJCAI.
[33] J. McCarthy. Situations, Actions, and Causal Laws , 1963 .
[34] R. Mayer. Thinking, Problem Solving, Cognition , 1983 .
[35] J. G. Wallace,et al. Cognitive development: An information-processing view , 1976 .
[36] S. Phillips,et al. Processing capacity defined by relational complexity: implications for comparative, developmental, and cognitive psychology. , 1998, The Behavioral and brain sciences.
[37] José Hernández-Orallo,et al. Approaches and Applications of Inductive Programming, Third International Workshop, AAIP 2009, Edinburgh, UK, September 4, 2009. Revised Papers , 2010, AAIP.
[38] C. Cordell Green,et al. Application of Theorem Proving to Problem Solving , 1969, IJCAI.
[39] Richard E. Korf,et al. Macro-Operators: A Weak Method for Learning , 1985, Artif. Intell..
[40] H. Simon,et al. Rational choice and the structure of the environment. , 1956, Psychological review.
[41] Julian M. Pine,et al. Constructing a Language: A Usage-Based Theory of Language Acquisition. , 2004 .
[42] Roland Olsson,et al. Inductive Functional Programming Using Incremental Program Transformation , 1995, Artif. Intell..
[43] J. Shavlik. Acquiring Recursive and Iterative Concepts with Explanation-Based Learning , 1990, Machine Learning.
[44] Donato Malerba,et al. Learning Recursive Theories in the Normal ILP Setting , 2003, Fundam. Informaticae.
[45] B. Karl,et al. Tatsachen und Probleme zu einer Psychologie der Denkvorgänge, III. , 1908 .
[46] Martin Hofmann,et al. I/O guided detection of list catamorphisms: towards problem specific use of program templates in IP , 2010, PEPM '10.
[47] Fritz Wysotzki,et al. Applying Inductive Program Synthesis to Macro Learning , 2000, AIPS.
[48] Jaime G. Carbonell,et al. Derivational Analogy in PRODIGY: Automating Case Acquisition, Storage, and Utilization , 1993, Machine Learning.
[49] Ute Schmid,et al. Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach , 2006, J. Mach. Learn. Res..
[50] C. Lebiere,et al. The Atomic Components of Thought , 1998 .
[51] J. Tenenbaum,et al. Theory-based Bayesian models of inductive learning and reasoning , 2006, Trends in Cognitive Sciences.
[52] Willem J. M. Levelt,et al. What became of LAD , 1975 .
[53] Ute Schmid,et al. AAIP 2009 Proceedings of the ACM SIGPLAN Workshop on Approaches and Applications of Inductive Programming , 2009 .
[54] K. Bühler,et al. Tatsachen und Probleme zu einer Psychologie der Denkvorgänge: I Über Gedanken , 1907 .
[55] Stan Szpakowicz,et al. Review of Natural language processing for prolog programmers by Michael A. Covington. Prentice-Hall 1994. , 1996 .
[56] Emanuel Kitzelmann,et al. Analytical Inductive Functional Programming , 2009, LOPSTR.
[57] J. Gregory Trafton,et al. Erratum to "Memories for goals: An activation-based model"[Cognitive Science 26 (2002) 39-83] , 2002, Cogn. Sci..
[58] B. Baars,et al. How conscious experience and working memory interact , 2003, Trends in Cognitive Sciences.
[59] Frank Bomarius,et al. KI 2008: Advances in Artificial Intelligence, 31st Annual German Conference on AI, KI 2008, Kaiserslautern, Germany, September 23-26, 2008. Proceedings , 2008, KI.
[60] Saso Dzeroski,et al. Inductive Logic Programming: Techniques and Applications , 1993 .
[61] J. Bach,et al. Principles of Synthetic Intelligence: Psi: An Architecture of Motivated Cognition , 2009 .
[62] Yasubumi Sakakibara,et al. Recent Advances of Grammatical Inference , 1997, Theor. Comput. Sci..
[63] Pierre Flener,et al. An introduction to inductive programming , 2008, Artificial Intelligence Review.
[64] John H. Holland,et al. Induction: Processes of Inference, Learning, and Discovery , 1987, IEEE Expert.
[65] John R. Anderson,et al. Tower of Hanoi: evidence for the cost of goal retrieval. , 2001 .
[66] E. Mark Gold,et al. Language Identification in the Limit , 1967, Inf. Control..
[67] Hank Kahney,et al. What do novice programmers know about recursion , 1983, CHI '83.
[68] Philip J. Stone,et al. Experiments in induction , 1966 .
[69] K. Maccorquodale. ON CHOMSKY'S REVIEW OF SKINNER'S VERBAL BEHAVIOR , 1970 .
[70] Paolo Traverso,et al. Automated planning - theory and practice , 2004 .
[71] William M. Smith,et al. A Study of Thinking , 1956 .
[72] H A Simon,et al. The theory of learning by doing. , 1979, Psychological review.
[73] S. Ohlsson. Restructuring revisited: I. Summary and critique of the Gestalt theory of problem solving. , 1984 .
[74] Pascal Hitzler,et al. Perspectives of Neural-Symbolic Integration , 2007, Studies in Computational Intelligence.
[75] John R. Anderson,et al. MACHINE LEARNING An Artificial Intelligence Approach , 2009 .
[76] Jaime G. Carbonell,et al. Towards a General Framework for Composing Disjunctive and Iterative Macro-operators , 1989, IJCAI.