Concept formation and learning: a cognitive informatics perspective

Concepts are the basic units of thought that underlie human intelligence and communication. From the perspective of cognitive informatics, a layered framework is suggested for concept formation and learning. It combines cognitive science and machine learning approaches. The philosophical issues and various views of concepts are reviewed. Concept learning methods are presented based on the classical view of concepts.

[1]  Qiang Yang,et al.  Mining optimal actions for profitable CRM , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

[2]  Yingxu Wang,et al.  A layered reference model of the brain , 2003, The Second IEEE International Conference on Cognitive Informatics, 2003. Proceedings..

[3]  Janusz Zalewski,et al.  Rough sets: Theoretical aspects of reasoning about data , 1996 .

[4]  Yiyu Yao,et al.  On modeling data mining with granular computing , 2001, 25th Annual International Computer Software and Applications Conference. COMPSAC 2001.

[5]  Stéphane Demri,et al.  Logical Analysis of Indiscernibility , 1998 .

[6]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery: An Overview , 1996, Advances in Knowledge Discovery and Data Mining.

[7]  Yingxu Wang.  On Cognitive Informatics , 2003 .

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

[9]  Yiyu Yao,et al.  A Granular Computing Approach to Machine Learning , 2002, FSKD.

[10]  Nancy E. Marchand-Martella,et al.  Research Methods: Learning to Become a Critical Research Consumer , 1998 .

[11]  John F. Sowa,et al.  Conceptual Structures: Information Processing in Mind and Machine , 1983 .

[12]  Edward E. Smith.  Concepts and induction , 1989 .

[13]  Yiyu Yao,et al.  Explanation Oriented Association Mining Using Rough Set Theory , 2003, RSFDGrC.

[14]  Tsau Young Lin,et al.  Value Added Association Rules , 2002, PAKDD.

[15]  John R. Anderson,et al.  MACHINE LEARNING An Artificial Intelligence Approach , 2009 .

[16]  Stephen W Smoliar.  Review of "Conceptual Structures: Information Processing in Mind and Machine.". , 1987 .

[17]  R. Mooney.  Encouraging Experimental Results on Learning CNF , 1995 .

[18]  Craig A. Kaplan,et al.  Foundations of cognitive science , 1989 .

[19]  Leonard Peikoff,et al.  Objectivism: The Philosophy of Ayn Rand , 1991 .

[20]  Gregory L. Murphy,et al.  Theories and concept formation. , 1993 .

[21]  J. Ross Quinlan,et al.  Learning Efficient Classification Procedures and Their Application to Chess End Games , 1983 .

[22]  I. A. Richards,et al.  The Meaning of Meaning: a Study of the Influence of Language upon Thought and of the Science of Symbolism , 1923, Nature.

[23]  Jadzia Cendrowska,et al.  PRISM: An Algorithm for Inducing Modular Rules , 1987, Int. J. Man Mach. Stud..

[24]  Yiyu Yao,et al.  A step toward the foundations of data mining , 2003, SPIE Defense + Commercial Sensing.

[25]  Yiyu Yao,et al.  An Analysis of Quantitative Measures Associated with Rules , 1999, PAKDD.