Curriculum Vitae

Pei Wang

Education

• Ph.D. in Computer Science and Cognitive Science, Indiana University, 1995
• M.S. in Computer Science, Peking University, 1986
• B.S. in Computer Science, Peking University, 1983

Honors and Awards

• Summer Faculty Research Program, Jet Propulsion Laboratory, 2014, 2013
• Outstanding Dissertation Award, Cognitive Science Program, Indiana University, 1996

Professional Experience

• Associate Professor in Computer and Information Sciences (Teaching/Instructional) [September 2008 - present] Department of Computer and Information Sciences, Temple University
• Scholar in Residence [September - November 2022] Digital Futures
• Visiting Assistant Professor (later renamed Lecturer) [July 2001 - May 2008] Department of Computer and Information Sciences, Temple University
• Director of Research [January 2000 - April 2001] Webmind Inc. (former Intelligenesis Corporation)
• Director of Artificial Intelligence [January 1999 - January 2000] Intelligenesis Corporation
• Senior Software Engineer [April 1998 - January 1999] Intelligenesis Corporation
• Senior Technical Staff [January 1998 - April 1998] ExpLore Reasoning Systems, Inc
• Knowledge Engineer [November 1996 - December 1997] Brightware, Inc.
• Member of Technical Staff [February 1996 - November 1996] Bhasha, Inc.
• Research Associate [August 1995 - January 1996] Cognitive Psychology Laboratory, Indiana University
• Researcher [May 1991 - December 1995] Center for Research on Concepts and Cognition, Indiana University
• Lecturer [September 1986 - April 1991] Computer Science and Technology Department, Peking University

Professional Services (selected)

— Academic Organization:

• Artificial General Intelligence Society, Vice Chair

— Editorial Board:

• Journal of Artificial General Intelligence, Chief Executive Editor

— Organizing Committee:

• Artificial General Intelligence Research Institute Workshop (2006)
• Conference on Artificial General Intelligence (2016, 2016, 2013 Chair, 2008)
• Joint Multi-Conference on Human-Level Artificial Intelligence (2016)

— Program Committee:

• Conference on Artificial General Intelligence (2016 Co-Chair, 2008 Co-Chair)
• IEEE Symposium on Computational Intelligence for Human-Like Intelligence
• International Conference on Biologically Inspired Cognitive Architectures

— Grant Proposal Review Panelist:

• National Science Foundation (2007, 2006)

Publications (by Pei Wang unless specified otherwise)

— Research Monograph:

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: 9781402050442

— Dissertation:

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

— Edited Volume:

1. Artificial General Intelligence 2016: Proceedings of the 9th AGI Conference (by Bas Steunebrink, Pei Wang, and Ben Goertzel)
   Springer, LNAI 9782, 2016, ISBN: 9783319416489
2. Artificial General Intelligence 2013: Proceedings of the 6th AGI Conference (by Kai-Uwe Kuhnberger, Sebastian Rudolph, and Pei Wang)
   Springer, LNAI 7999, 2013, ISBN: 9783642395215
3. Theoretical Foundations of Artificial General Intelligence (by Pei Wang and Ben Goertzel)
   Atlantis Press, Paris, 2012, ISBN: 9789491216619
4. Artificial General Intelligence 2008: Proceedings of the 1st AGI Conference (by Pei Wang, Ben Goertzel, and Stan Franklin)
   IOS Press, Amsterdam, 2008, ISBN: 9781586038335
5. Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms (by Ben Goertzel and Pei Wang)
   IOS Press, Amsterdam, 2007, ISBN: 9781586037581

— Book Chapter:

1. A Constructive Explanation of Consciousness and its Implementation
   In Computational Approaches to Conscious Artificial Intelligence, Antonio Chella (editor), Pages 71-98, World Scientific Publishing Company, Singapore, 2023, ISBN: 9789811276668
2. Toward a Logic of Everyday Reasoning
   In Blended Cognition: The Robotic Challenge, Jordi Vallverdú and Vincent C. Müller (editors), Pages 275-302, Springer, Switzerland, 2019, ISBN: 9783030031039
3. 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
4. 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
5. 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
6. 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
7. The logic of intelligence
   In Artificial General Intelligence, B. Goertzel and C. Pennachin (editors), Pages 31-62, Springer, New York, 2007, ISBN: 9783540237334
8. 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
9. 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
10. 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

— Translation:

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: 9787100013239

— Journal Article:

1. Neurosymbolic Systems of Perception and Cognition: The Role of Attention (by Hugo Latapie, Ozkan Kilic, Kristinn R. Thórisson, Pei Wang and Patrick Hammer)
   Frontiers in Psychology, Vol. 13, DOI: 10.3389/fpsyg.2022.806397, 2022
2. A Model of Unified Perception and Cognition (by Pei Wang, Christian Hahm and Patrick Hammer)
   Frontiers in Artificial Intelligence, Vol. 5, DOI: 10.3389/frai.2022.806403, 2022
3. A Metamodel and Framework for Artificial General Intelligence From Theory to Practice (by Hugo Latapie, Ozkan Kilic, Gaowen Liu, Ramana Kompella, Adam Lawrence, Yuhong Sun, Jayanth Srinivasa, Yan Yan, Pei Wang, Kristinn R. Thorisson)
   Journal of Artificial Intelligence and Consciousness, Vol. 8, No. 2, Pages 205-227, 2021
4. A Constructive Explanation of Consciousness
   Journal of Artificial Intelligence and Consciousness, Vol. 7, No. 2, Pages 257-275, 2020
5. A case representation and similarity measurement model with experience-grounded semantics (by Nady Slam, Wushour Slamu, Pei Wang)
   International Journal of Software Engineering and Knowledge Engineering, Vol. 30, No. 1, Pages 119-146, 2020
6. On defining artificial intelligence — Author's response to commentaries
   Journal of Artificial General Intelligence, Vol.11, No.2, Pages 73-86, 2020
7. On defining artificial intelligence
   Journal of Artificial General Intelligence, Vol.10, No.2, Pages 1-37, 2019
8. Why is the Husserlian notion of "Intentionality" needed by Artificial General Intelligence? (by Yingjin Xu and Pei Wang)
   The Philosophical Forum, Vol. XLIX, No.4, Pages 401-425, 2018
9. Conceptions of Artificial Intelligence and Singularity (by Pei Wang, Kai Liu, and Quinn Dougherty)
   Information 2018, 9(4), 79; doi: 10.3390/info9040079
10. Self in NARS, an AGI System (by Pei Wang, Xiang Li, and Patrick Hammer)
    Frontiers in Robotics and AI, Vol. 5, Article 20, 2018
11. A prototype intelligent decision-support system with a unified planning and learning capabilities (by Nady Slam, Wushour Slamu, Pei Wang)
    International Journal on Artificial Intelligence Tools, Vol. 26, No. 6, 1750025 (22 pages), 2017
12. 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, Vol. 46, Part B, Pages 346-353, 2015
13. On the logic of percutaneous coronary interventions (by Peter Lanzer and Pei Wang)
    International Journal of Clinical Cardiology, Vol.2, No.3, 2015
14. Solving a problem with or without a program
    Journal of Artificial General Intelligence, Vol.3, No.3, Pages 43-73, 2012
15. 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
16. 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
17. The assumptions on knowledge and resources in models of rationality
    International Journal of Machine Consciousness, Vol.3, No.1, Pages 193-218, 2011
18. Formalization of evidence: a comparative study
    Journal of Artificial General Intelligence, Vol. 1, Pages 25-53, 2009
19. Analogy in a general-purpose reasoning system
    Cognitive Systems Research, Vol.10, No.3, Pages 286-296, 2009
20. Three fundamental misconceptions of artificial intelligence
    Journal of Experimental & Theoretical Artificial Intelligence, Vol.19, No.3, Pages 249-268, 2007
21. A logic of categorization (by Pei Wang and Douglas Hofstadter)
    Journal of Experimental & Theoretical Artificial Intelligence, Vol.18, No.2, Pages 193-213, 2006
22. Experience-grounded semantics: a theory for intelligent systems
    Cognitive Systems Research, Vol. 6, No. 4, Pages 282-302, 2005
23. Problem solving with insufficient resources
    International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, Vol.12, No.5, Pages 673-700, 2004
24. The limitation of Bayesianism
    Artificial Intelligence, Vol.158, No.1, Pages 97-106, 2004
25. Heuristics and normative models of judgment under uncertainty
    International Journal of Approximate Reasoning, Vol.14, No.4, Pages 221-235, 1996
26. The interpretation of fuzziness
    IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol.26, No.2, Pages 321-326, 1996
27. Reference classes and multiple inheritances
    International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, Vol.3, No.1, Pages 79-91, 1995
28. From inheritance relation to nonaxiomatic logic
    International Journal of Approximate Reasoning, Vol.11, No.4, Pages 281-319, 1994

— Refereed Conference/Symposium/Workshop Paper:

1. Automated Spatiotemporal Modeling for Real-Time Data-Driven Actionable Insights (By Hugo M Latapie, Mina Gabriel, Sidarth Srinivasan, Ramana Kompella, Kristinn R. Thorisson, Pei Wang, Patrick Hammer)
   Proceedings of the Intelligent Systems Conference (IntelliSys), Amsterdam, September 2023
2. Intelligence: From Definition to Design
   Proceedings of the Third International Workshop on Self-Supervised Learning, PMLR 192:35–47, 2022
3. Neurosymbolic hybrid approach to driver collision warning (By Kyongsik Yun, Thomas Lu, Alexander Huyen, Patrick Hammer, and Pei Wang)
   Proc. SPIE 12101, Pattern Recognition and Tracking XXXIII, 2022
4. A Unified Model of Reasoning and Learning
   Proceedings of the Second International Workshop on Self-Supervised Learning, PMLR 159:28-48, 2021
5. Goal Generation and Management in NARS (By Christian Hahm, Boyang Xu, and Pei Wang)
   Proceedings of AGI-21, Pages 96-105, San Francisco, October 2021
6. A Reasoning Based Model for Anomaly Detection in the Smart City Domain (By Patrick Hammer, Tony Lofthouse, Enzo Fenoglio, Hugo Latapie, and Pei Wang)
   Proceedings of IntelliSys 2020, Pages 144-159, Online, September 2020
7. An Architecture for Real-time Reasoning and Learning (By Pei Wang, Patrick Hammer, and Hongzheng Wang)
   Proceedings of AGI-20, Pages 347-356, Online, June 2020
8. Agents in dynamic contexts, a system for learning plans (By Francesco Lanza, Patrick Hammer, Valeria Seidita, Pei Wang, and Antonio Chella)
   SAC'20: Proceedings of the 35th Annual ACM Symposium on Applied Computing, Pages 823–825, Online, March 2020
9. Generalized Diagnostics with the Non-Axiomatic Reasoning System (NARS) (By Bill Power, Xiang Li, and Pei Wang)
   Proceedings of AGI-19, Pages 159-167, Shenzhen, August 2019
10. Cumulative Learning (By Kristinn R. Thórisson, Jordi Bieger, Xiang Li, and Pei Wang)
    Proceedings of AGI-19, Pages 198-208, Shenzhen, August 2019
11. Functionalist Emotion Model in NARS (By Xiang Li, Patrick Hammer, Pei Wang, and Hongling Xie)
    Proceedings of AGI-18, Pages 119-129, Prague, August 2018
12. Perception from an AGI Perspective (By Pei Wang and Patrick Hammer)
    Proceedings of AGI-18, Pages 259-269, Prague, August 2018
13. OpenNARS Demonstration of Autonomous Learning and Decision-Making (by Patrick Hammer, Tony Lofthouse, and Pei Wang)
    IJCAI-17 Workshop on Architectures for Generality & Autonomy, Melbourne, August 2017
14. Understanding as Conceptualizing
    AGI-17 Workshop on Understanding Understanding, Melbourne, August 2017
15. Self-Awareness and Self-Control in NARS (by Patrick Hammer, Tony Lofthouse, and Pei Wang)
    Proceedings of AGI-17, Pages 33-43, Melbourne, August 2017
16. Different Conceptions of Learning: Function Approximation vs. Self-Organization (by Pei Wang and Xiang Li)
    Proceedings of AGI-16, Pages 140-149, New York City, July 2016
17. The Emotional Mechanisms in NARS (by Pei Wang, Max Talanov, and Patrick Hammer)
    Proceedings of AGI-16, Pages 150-159, New York City, July 2016
18. The OpenNARS implementation of the Non-Axiomatic Reasoning System (by Patrick Hammer, Tony Lofthouse, and Pei Wang)
    Proceedings of AGI-16, Pages 160-170, New York City, July 2016
19. Safe baby AGI (by Jordi Bieger, Kristinn R. Thórisson, and Pei Wang)
    Proceedings of AGI-15, Pages 46-49, Berlin, July 2015
20. Assumptions of decision-making models in AGI (by Pei Wang and Patrick Hammer)
    Proceedings of AGI-15, Pages 197-207, Berlin, July 2015
21. Issues in temporal and causal inference (by Pei Wang and Patrick Hammer)
    Proceedings of AGI-15, Pages 208-217, Berlin, July 2015
22. 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
23. What Should AGI Learn From AI & CogSci? (by Pei Wang, Bas R. Steunebrink, and Kristinn R. Thórisson)
    AGI-14 Special Session on AGI and Cognitive Science, Quebec City, Canada, August 2014
24. Formal models in AGI research
    AGI-13 Workshop: Formalizing Mechanisms for Artificial General Intelligence and Cognition, Beijing, China, August 2013
25. Issues in applying probability theory to AGI
    AGI-13 Workshop: Probability Theory or Not?, Beijing, China, August 2013
26. Natural language processing by reasoning and learning
    Proceedings of AGI-13, Pages 160-169, Beijing, China, August 2013
27. 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
28. Motivation management in AGI systems
    Proceedings of AGI-12, Pages 352-361, Oxford, UK, December 2012
29. 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, Pages 1242-1247, Sapporo, Japan, August 2012
30. On the validity of Dempster-Shafer theory (by Jean Dezert, Pei Wang, and Albena Tchamova)
    Proceedings of Fusion 2012, Singapore, July 2012
31. 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
32. The Evaluation of AGI Systems
    Proceedings of AGI-10, Pages 164-169, Lugano, Switzerland, March 2010 (doi:10.2991/agi.2010.33, ISBN: 9789078677369)
33. 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)
34. Embodiment: Does a laptop have a body?
    Proceedings of AGI-09, Pages 174-179, Arlington, Virginia, March 2009 (ISBN: 9789078677246)
35. Case-by-case problem solving
    Proceedings of AGI-09, Pages 180-185, Arlington, Virginia, March 2009 (ISBN: 9789078677246)
36. What do you mean by "AI"?
    Proceedings of AGI-08, Pages 362-373, Memphis, Tennessee, March 2008 (ISBN: 9781586038335)
37. 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)
38. 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)
39. 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)
40. 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)
41. The logic of categorization
    Proceedings of the 15th International FLAIRS Conference, Pages 181-185, Pensacola, Florida, May 2002 (AAAI Press)
42. Wason's cards: what is wrong?
    Proceedings of the Third International Conference on Cognitive Science, Pages 371-375, Beijing, August 2001 (Press of USTC)
43. Abduction in non-axiomatic logic
    Working Notes of the IJCAI workshop on Abductive Reasoning, Pages 56-63, Seattle, Washington, August 2001
44. 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)
45. 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)
46. The logic of learning
    Working Notes of the AAAI Workshop on New Research Problems for Machine Learning, Pages 37-40, Austin, Texas, July 2000
47. 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
48. Why recommendation is special?
    Working Notes of the AAAI Workshop on Recommender System, Pages 111-113, Madison, Wisconsin, July 1998
49. Return to term logic
    Working Notes of the IJCAI Workshop on Abduction and Induction in AI, Nagoya, August 1997
50. Problem-solving under insufficient resources
    Working Notes of the AAAI Fall Symposium on Flexible Computation, Pages 148-155, Cambridge, Massachusetts, November 1996
51. A unified treatment of uncertainties
    Proceedings of the Fourth International Conference for Young Computer Scientists, Pages 462-467, Beijing, July 1995
52. 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)
53. 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)
54. 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)