Curriculum Vitae

Pei Wang

PeiWang-name (1K)

Education

Honors and Awards

Professional Experience

Professional Memberships

Professional Services

— Editorial Board:

— Journal Referee:

— Conference Organizing Committee:

— Conference Program Committee:

— Conference Referee:

— Grant Proposal Review Panelist:

Publications (by Pei Wang unless specified otherwise)

— Research Monographs:

  1. Non-Axiomatic Logic: A Model of Intelligent Reasoning
    World Scientific Publishing, 2013, ISBN: 9789814440271
  2. Rigid Flexibility: The Logic of Intelligence
    Springer, Dordrecht, 2006, ISBN: 1402050445

— Edited Volumes:

  1. Artificial General Intelligence 2013: Proceedings of the Sixth AGI Conference (by Kai-Uwe Kuhnberger, Sebastian Rudolph, and Pei Wang)
    Springer, LNAI 7999, 2013, ISBN: 9783642395215
  2. Theoretical Foundations of Artificial General Intelligence (by Pei Wang and Ben Goertzel)
    Atlantis Press, Paris, 2012, ISBN: 9789491216619
  3. Artificial General Intelligence 2008: Proceedings of the First AGI Conference (by Pei Wang, Ben Goertzel, and Stan Franklin)
    IOS Press, Amsterdam, 2008, ISBN: 9781586038335
  4. Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms (by Ben Goertzel and Pei Wang)
    IOS Press, Amsterdam, 2007, ISBN: 9781586037581

— Dissertations:

  1. Non-Axiomatic Reasoning System: Exploring the essence of intelligence
    Dissertation for the degree of Doctor of Philosophy in Computer Science and Cognitive Science, Indiana University, 1995

— Translations:

  1. Gödel, Escher, Bach: an Eternal Golden Braid (by Hofstadter, D., New York: Basic Books, 1979)
    Chinese Edition, with Liu H., Yan Y., et al, Commercial Press, Beijing, 1997, ISBN: 7100013232

— Book Chapters:

  1. Introduction: What is the matter here? (by Pei Wang and Ben Goertzel)
    In Theoretical Foundations of Artificial General Intelligence, P. Wang and B. Goertzel (editors), Pages 1-9, Atlantis Press, Paris, 2012, ISBN: 9789491216619
  2. Theories of Artificial Intelligence: Meta-theoretical considerations
    In Theoretical Foundations of Artificial General Intelligence, P. Wang and B. Goertzel (editors), Pages 307-325, Atlantis Press, Paris, 2012, ISBN: 9789491216619
  3. Introduction: Aspects of artificial general intelligence (by Pei Wang and Ben Goertzel)
    In Advance of Artificial General Intelligence, B. Goertzel and P. Wang (editors), Pages 1-16, IOS Press, Amsterdam, 2007, ISBN: 9781586037581
  4. From NARS to a thinking machine
    In Advance of Artificial General Intelligence, B. Goertzel and P. Wang (editors), Pages 75-93, IOS Press, Amsterdam, 2007, ISBN: 9781586037581
  5. The logic of intelligence
    In Artificial General Intelligence, B. Goertzel and C. Pennachin (editors), Pages 31-62, Springer, New York, 2007, ISBN: 354023733X
  6. Recommendation based on personal preference
    In Computational Web Intelligence: Intelligent Technology for Web Applications, Y. Zhang, A. Kandel, T. Lin, and Y. Yao (editors), Pages 101-115, World Scientific Publishing Company, Singapore, 2004, ISBN: 9812388273
  7. Unified inference in extended syllogism
    In Abduction and Induction, P. Flach and A. Kakas (editors), Pages 117-129, Kluwer Academic Publishers, Dordrecht, 2000, ISBN: 0792362500
  8. A new approach for induction: from a non-axiomatic logical point of view
    In Philosophy, Logic, and Artificial Intelligence, Ju S., Liang Q., and Liang B. (editors), Pages 53-85, Zhongshan University Press, Guangzhou, 1999, ISBN: 7306015419

— Journal Articles:

  1. A framework with reasoning capabilities for crisis response decision–support systems (by Nady Slam, Wenjun Wang, Guixiang Xue, and Pei Wang)
    Engineering Applications of Artificial Intelligence, in press, 2015
  2. On the logic of percutaneous coronary interventions (by Peter Lanzer and Pei Wang)
    International Journal of Clinical Cardiology, Vol.2, No.3, 2015
  3. Solving a problem with or without a program
    Journal of Artificial General Intelligence, Vol.3, No.3, Pages 43-73, 2012
  4. Editorial: Approaches and assumptions of self-programming in achieving artificial general intelligence (by Kristinn R. Thórisson, Eric Nivel, Ricardo Sanz, and Pei Wang)
    Journal of Artificial General Intelligence, Vol.3, No.3, Pages 1-10, 2012
  5. The frame problem, the relevance problem, and a package solution to both (by Yingjin Xu and Pei Wang)
    Synthese, Vol. 187, No.1, Pages 43-72, DOI: 10.1007/s11229-012-0117-8, 2012
  6. The assumptions on knowledge and resources in models of rationality
    International Journal of Machine Consciousness, Vol.3, No.1, Pages 193-218, 2011
  7. Formalization of evidence: a comparative study
    Journal of Artificial General Intelligence, Vol. 1, Pages 25-53, 2009
  8. Analogy in a general-purpose reasoning system
    Cognitive Systems Research, Vol.10, No.3, Pages 286-296, 2009
  9. Three fundamental misconceptions of artificial intelligence
    Journal of Experimental & Theoretical Artificial Intelligence, Vol.19, No.3, Pages 249-268, 2007
  10. A logic of categorization (by Pei Wang and Douglas Hofstadter)
    Journal of Experimental & Theoretical Artificial Intelligence, Vol.18, No.2, Pages 193-213, 2006
  11. Experience-grounded semantics: a theory for intelligent systems
    Cognitive Systems Research, Vol. 6, No. 4, Pages 282-302, 2005
  12. Problem solving with insufficient resources
    International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, Vol.12, No.5, Pages 673-700, 2004
  13. The limitation of Bayesianism
    Artificial Intelligence, Vol.158, No.1, Pages 97-106, 2004
  14. Heuristics and normative models of judgment under uncertainty
    International Journal of Approximate Reasoning, Vol.14, No.4, Pages 221-235, 1996
  15. The interpretation of fuzziness
    IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol.26, No.2, Pages 321-326, 1996
  16. Reference classes and multiple inheritances
    International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, Vol.3, No.1, Pages 79-91, 1995
  17. From inheritance relation to nonaxiomatic logic
    International Journal of Approximate Reasoning, Vol.11, No.4, Pages 281-319, 1994

— Refereed Conference/Symposium/Workshop Papers:

  1. Safe baby AGI (by Jordi Bieger, Kristinn R. Thorisson, and Pei Wang)
    Proceedings of AGI-15, Pages 46-49, Berlin, July 2015
  2. Assumptions of decision-making models in AGI (by Pei Wang and Patrick Hammer)
    Proceedings of AGI-15, Pages 197-207, Berlin, July 2015
  3. Issues in temporal and causal inference (by Pei Wang and Patrick Hammer)
    Proceedings of AGI-15, Pages 208-217, Berlin, July 2015
  4. An improvisational decision-making agent based on non-axiomatic reasoning system (by Nady Slam, Wenjun Wang, and Pei Wang)
    The IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Warsaw, Poland, August 2014
  5. What Should AGI Learn From AI & CogSci? (by Pei Wang, Bas R. Steunebrink, and Kristinn R. Thórisson)
    AGI-2014 Special Session on AGI and Cognitive Science, Quebec City, Canada, August 2014
  6. Formal models in AGI research
    AGI-13 Workshop: Formalizing Mechanisms for Artificial General Intelligence and Cognition, Beijing, China, August 2013
  7. Issues in applying probability theory to AGI
    AGI-13 Workshop: Probability Theory or Not?, Beijing, China, August 2013
  8. Natural language processing by reasoning and learning
    Proceedings of AGI-13, Pages 160-169, Beijing, China, August 2013
  9. Predictive Heuristics for Decision-Making in Real-World Environment (by Helgi Páll Helgason, Kristinn R. Thórisson, Eric Nivel, and Pei Wang)
    Proceedings of AGI-13, pages 50-59, Beijing, China, August 2013
  10. Motivation management in AGI systems
    Proceedings of AGI-12, Pages 352-361, Oxford, UK, December 2012
  11. Rationality-guided AGI as cognitive systems (by Ahmed Abdel-Fattah, Tarek R. Besold, Helmar Gust, Ulf Krumnack, Martin Schmidt, Kai-Uwe Kuhnberger, and Pei Wang)
    Proceedings of CogSci 2012, Sapporo, Japan, August 2012
  12. On the validity of Dempster-Shafer theory (by Jean Dezert, Pei Wang, and Albena Tchamova)
    Proceedings of Fusion 2012, Singapore, July 2012
  13. Reasoning in non-axiomatic logic: a case study in medical diagnosis (by Pei Wang and Seemal Awan)
    Proceedings of AGI-11, Mountain View, California, August 2011
  14. The Evaluation of AGI Systems
    Proceedings of AGI-10, Pages 164-169, Lugano, Switzerland, March 2010 (doi:10.2991/agi.2010.33, ISBN: 9789078677369)
  15. Insufficient knowledge and resources: a biological constraint and its functional implications
    Papers from the AAAI 2009 Fall Symposium on Biologically Inspired Cognitive Architectures, Pages 88-93, Arlington, Virginia, November 2009 (ISBN: 9781577354352)
  16. Embodiment: Does a laptop have a body?
    Proceedings of AGI-09, Pages 174-179, Arlington, Virginia, March 2009 (ISBN: 9789078677246)
  17. Case-by-case problem solving
    Proceedings of AGI-09, Pages 180-185, Arlington, Virginia, March 2009 (ISBN: 9789078677246)
  18. What do you mean by "AI"?
    Proceedings of AGI-08, Pages 362-373, Memphis, Tennessee, March 2008 (ISBN: 9781586038335)
  19. Artificial general intelligence and classical neural network
    Proceedings of the IEEE International Conference on Granular Computing, Pages 130-135, Atlanta, Georgia, May 2006 (ISBN: 1424401348)
  20. Artificial intelligence: what it is, and what it should be
    Papers from the AAAI Spring Symposium on AAAI Spring Symposium on Cognitive Science Principles Meet AI-Hard Problems, Pages 97-102, Stanford, California, March 2006 (ISBN: 9781577352631)
  21. Toward a unified artificial intelligence
    Papers from the AAAI Fall Symposium on Achieving Human-Level Intelligence through Integrated Research and Systems, Pages 83-90, Washington DC, October 2004 (ISBN: 9781577352129)
  22. Reasoning in practical situations
    Proceedings of Knowledge-Based Intelligent Information and Engineering Systems: 8th International Conference, Wellington, September 2004 (Lecture Notes in Computer Science, Volume 3215, Pages 285-292, Springer-Verlag Heidelberg, 2004, ISBN: 3540232052)
  23. The logic of categorization
    Proceedings of the 15th International FLAIRS Conference, Pages 181-185, Pensacola, Florida, May 2002 (AAAI Press)
  24. Wason's cards: what is wrong?
    Proceedings of the Third International Conference on Cognitive Science, Pages 371-375, Beijing, August 2001 (Press of USTC)
  25. Abduction in non-axiomatic logic
    Working Notes of the IJCAI workshop on Abductive Reasoning, Pages 56-63, Seattle, Washington, August 2001
  26. Confidence as higher-order uncertainty
    Proceedings of the Second International Symposium on Imprecise Probabilities and Their Applications, Pages 352-361, Ithaca, New York, June 2001 (Shaker Publishing)
  27. Non-Axiomatic Reasoning System (version 4.1) [Intelligent Systems Demos]
    Proceedings of the Seventeenth National Conference on Artificial Intelligence, Pages 1135-1136, Austin, Texas, July 2000 (AAAI Press / The MIT Press)
  28. The logic of learning
    Working Notes of the AAAI Workshop on New Research Problems for Machine Learning, Pages 37-40, Austin, Texas, July 2000
  29. Grounding the meaning of symbols on the system's experience
    Working Notes of the AAAI Workshop on the Grounding of Word Meaning: Data and Models, Pages 23-24, Madison, Wisconsin, July 1998
  30. Why recommendation is special?
    Working Notes of the AAAI Workshop on Recommender System, Pages 111-113, Madison, Wisconsin, July 1998
  31. Return to term logic
    Working Notes of the IJCAI Workshop on Abduction and Induction in AI, Nagoya, August 1997
  32. Problem-solving under insufficient resources
    Working Notes of the AAAI Fall Symposium on Flexible Computation, Pages 148-155, Cambridge, Massachusetts, November 1996
  33. A unified treatment of uncertainties
    Proceedings of the Fourth International Conference for Young Computer Scientists, Pages 462-467, Beijing, July 1995
  34. A defect in Dempster-Shafer theory
    Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, Pages 560-566, Seattle, Washington, July 1994 (Morgan Kaufmann)
  35. Belief revision in probability theory
    Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, Pages 519-526, Washington D.C., July 1993 (Morgan Kaufmann)
  36. A discover-oriented logic model (by Wang Pei and Hsu Cho-Chun)
    Proceedings of the Second International Conference on Computers and Applications, Pages 598-604, Beijing, July 1987 (IEEE Computer Society Press)