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Munindar P. Singh is an Alumni Distinguished Graduate Professor and a full professor in the Department of Computer Science at North Carolina State University.[1][2][3] He is a AAAI fellow and an IEEE Fellow.[4][5]

Munindar P. Singh
Alma materUniversity of Texas at Austin
Indian Institute of Technology Delhi
Scientific career
FieldsComputer Science
Multiagent systems
Artificial Intelligence
InstitutionsNorth Carolina State University
Microelectronics and Computer Technology Corporation
ThesisA Theory of Actions, Intentions, and Communications for Multiagent Systems (1993)
Doctoral advisorProfessors E. Allen Emerson (coadvisor) and Nicholas M. Asher (coadvisor)

Contents

EducationEdit

Singh received his B.Tech. in Computer Science & Engineering from the Indian Institute of Technology Delhi in 1986. He obtained a Ph.D. in Computer Science from the University of Texas at Austin in 1993 under the supervision of E. Allen Emerson and Nicholas M. Asher.[6]

ResearchEdit

Singh's research interests include multiagent systems, service-oriented computing, software engineering, artificial intelligence, and social networks. He has made several important contributions to the understanding of interaction and norms in multiagent systems. He introduced to artificial intelligence the distinction between social commitment (a norm) and psychological commitment (a mental attitude).[7] Singh also introduced the idea that interaction among autonomous social principals (e.g., between two or more organizations) must have a social semantics. This idea has proved to be highly influential within multiagent systems research. In recognition of Singh's contribution, the paper[8] in which he introduced this idea was awarded the IFAAMAS 2016 Influential Paper Award.[9] Taking this line of thinking further, Singh, in joint work with his Ph.D. student pInar Yolum, introduced the abstraction of commitment protocols.[10]

Singh has also made important contributions to social networks, trust, and distributed computing. His Blindingly Simple Protocol Language (BSPL) introduces the idea that message ordering in interaction protocols fall out automatically from information flow requirements.[11] Therefore, one need not model specify control flow at all in interaction protocols.

ReferencesEdit

  1. ^ "NC Computer Science: Full Professors Directory".
  2. ^ "NC State Computer Science: Munindar P. Singh".
  3. ^ "Munindar Singh's homepage". Retrieved 24 April 2013.
  4. ^ "Elected AAAI Fellows".
  5. ^ "IEEE - Fellow Class of 2009".
  6. ^ Munindar Paul Singh at the Mathematics Genealogy Project
  7. ^ "Social and Psychological Commitments in Multiagent Systems" (PDF). Retrieved 24 April 2013.
  8. ^ "Agent Communication Languages: Rethinking the Principles" (PDF). Retrieved 24 April 2013.
  9. ^ "IFAAMAS 2016 Influential Paper Award". Retrieved 7 June 2016.
  10. ^ "Flexible Protocol Specification and Execution: Applying Event Calculus Planning using Commitments" (PDF). Retrieved 24 April 2013.
  11. ^ "Information-Driven Interaction-Oriented Programming: BSPL, the Blindingly Simple Protocol Language" (PDF). Retrieved 24 April 2013.

External linksEdit