A Scope of Chance Discovery

作者: Yukio Ohsawa

DOI:

关键词: Internet privacyExplicit knowledgeEvent (relativity)Action (philosophy)Information technologyMeaning (existential)Knowledge extractionPsychologyFace (sociological concept)FeelingData mining

摘要: What we call chance discovery is the of a chance, not by chance. Here, ``chance'' defined as piece information, about an event or situation which gives significant impact on decision-making human, agents, and robots. This follows second meaning ``chance''a suitable time occasion to do something in Oxford Advanced Learner's Dictionary, considering that occurred at certain more than itself, decision precedes action doing it. We awareness above, explanation its significance. triggered researchers various domains challenge exploring methods for even if rare significance has been unnoticed. They are going much beyond previous data mining statistics introducing ideas. Which you want, rule opportunity? Do like “if it Sunday morning, one must go out jogging” ? When I asked this question colleagues, some disliked jogging because heavy feeling. Some rather preferred rest holidays, others wanted decide what flexibly reacting dynamic environment e.g., weather. look window see weather condition, watch forecast programs TV. In recent business literatures, word “knowledge” increasing frequency appearance. For example , “knowledge management” discovery” most popular terms bundled with keywords information technology. However, definition hardly consistent among researchers. literatures management, knowledge distinguished into implicit (not symbolized, although existing mind human) explicit (symbolized) knowle dge. case above Sunday, kind should be activated deciding stay home, when outdoors? A person who decided may answer: “I used home raining.” Is valid knowledge? No, she could have other knowledge, raining, far thundering.” Each human real situations part complex large number conditions (i.e ., “IF ...” part), can symbolized IF-THEN rule. Rather believing her comment, would realistic say had experiences weather-based actions, decides own based these on-site current words, likes act reactively changes bound simpler dynamics world thousand conditions. article, let us assume where seek i.e., new making decisions face environment.. Chance Discovery itself Event Process? The “chance,” means agent, robot. need least 10 minutes evaluate pattern “event B occurs within after A” whereas each occur moment. chance? start end moment? Here try answer question, “Can discovered moment, moment?” “Yes,” answer, “when hear message, immediately distinguish good news from bad news. Just think – take long before feeling happy will fine all day...” reason reject his answer. Why does he feel moment catches news? He feels so desiring day, several possible reasons, was planning blue color sky nature. show opportunistic occurred, without one’s preparatory state mind. chances come prepared From: AAAI Technical Report FS-02-01. Compilation copyright © 2002, (www.aaai.org). All rights reserved.

参考文章(13)
Peter McBurney, Simon Parsons, Chance Discovery Using Dialectical Argumentation Lecture Notes in Computer Science. pp. 414- 424 ,(2001) , 10.1007/3-540-45548-5_57
Ikujiro Nonaka, The Knowledge Creating Company ,(2008)
John T. Cacioppo, Richard E. Petty, Attitudes and Persuasion: Classic and Contemporary Approaches ,(1981)
Leon Festinger, A Theory of Cognitive Dissonance ,(1957)
Free Press, Macmillan Company, Everett Mitchell Rogers, Diffusion of Innovations ,(1962)
Yukio Ohsawa, Chance discoveries for making decisions in complex real world New Generation Computing. ,vol. 20, pp. 143- 163 ,(2002) , 10.1007/BF03037576
Gordon W. Allport, Leo Joseph Postman, The psychology of rumor ,(1947)
Peter Podgorny, Stephen M. Kosslyn, Image and mind American Journal of Psychology. ,vol. 95, pp. 172- ,(1982) , 10.2307/1422671
P. D. Turney, Cost-sensitive classification: empirical evaluation of a hybrid genetic decision tree induction algorithm Journal of Artificial Intelligence Research. ,vol. 2, pp. 369- 409 ,(1994) , 10.1613/JAIR.120