Predictive Approach of Case Base Reasoning in Artificial Intelligence: In Case of Astrological Predictions About Famous Personalities

Astrological Predictions have always been able to generate a lot of curiosity in human beings to know about their future. This belief of a large percentage of population in astrology needs to be verified by checking the scientific validity of astrology. This paper discuss about the experiments related to astrological predictions and try to find the scientific validity and rules for astrological prediction using Case Base Reasoning method. Various methods and classification techniques of Artificial Intelligence used for this purpose are Simple Cart, Logistic, Naïve Bayes, Decision Stump, Decision Table and DTNB. Experiments are performed on astrological charts to identify whether the person will become internationally famous or not. Data of 240 persons were collected to perform these experiments. The data collected were time of birth, place of birth, and date of birth along with the status of the person that he is well known in the world or not. Out of 240 persons, 120 persons were internationally famous persons and remaining persons were not internationally famous. Results generated by the research were impressive and motivating.

[1]  Luc Lamontagne,et al.  Case-Based Reasoning Research and Development , 1997, Lecture Notes in Computer Science.

[2]  Tae Yoon Kim,et al.  Financial market monitoring by case-based reasoning , 2007, Expert Syst. Appl..

[3]  Yannick Toussaint,et al.  Sentence Analysis by Case-Based Reasoning , 2001, IEA/AIE.

[4]  John H. McGrew,et al.  A Scientific Inquiry Into the Validity of Astrology , 1990 .

[5]  E. R. Bareiss,et al.  PROTOS: An Experiment in Knowledge Acquisition for Heuristic ClassificationTasks , 1986 .

[6]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.

[7]  Denis Riordan,et al.  Weather Prediction Using Case-Based Reasoning and Fuzzy Set Theory , 2001 .

[8]  Ken McRitchie Support for Astrology from the Carlson Double-blind Experiment , 2011 .

[9]  Sean Breen,et al.  Developing Industrial Case-Based Reasoning Applications: The INRECA Methodology , 1999 .

[10]  I. W. Kelly Modern Astrology: A Critique , 1997 .

[11]  Isabelle Bichindaritz,et al.  Case-Based Reasoning in CARE-PARTNER: Gathering Evidence for Evidence-Based Medical Practice , 1998, EWCBR.

[12]  Stefan Wess,et al.  Case-Based Reasoning Technology: From Foundations to Applications , 1998, Lecture Notes in Computer Science.

[13]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[14]  Susan Craw,et al.  Case-Based Reasoning , 2010, Encyclopedia of Machine Learning.

[15]  Enric Plaza,et al.  Proceedings of the Second International Conference on Case-Based Reasoning Research and Development , 1997 .

[16]  Janet L. Kolodner,et al.  Case-Based Reasoning , 1989, IJCAI 1989.

[17]  Ralph Bergmann,et al.  Developing Industrial Case-Based Reasoning Applications , 1999, Lecture Notes in Computer Science.

[18]  C SchankRoger,et al.  Dynamic Memory: A Theory of Reminding and Learning in Computers and People , 1983 .

[19]  Neelam Chaplot,et al.  Archetype of astrological prediction system about profession of any persons' using case based reasoning , 2010, 2010 International Conference on Communication and Computational Intelligence (INCOCCI).

[20]  Neelam Chaplot,et al.  Predictive role of case based reasoning for astrological predictions about profession: System modeling approach , 2010, 2010 International Conference on Communication and Computational Intelligence (INCOCCI).

[21]  Ian D. Watson,et al.  An Introduction to Case-Based Reasoning , 1995, UK Workshop on Case-Based Reasoning.