Munindar P. Singh

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Munindar P. Singh
Fields Computer Science
Multiagent systems
Artificial Intelligence
Institutions North Carolina State University
Alma mater University of Texas at Austin
Indian Institute of Technology Delhi
Thesis A Theory of Actions, Intentions, and Communications for Multiagent Systems (1993)
Doctoral advisor Professors E. Allen Emerson (coadvisor) and Nicholas M. Asher (coadvisor)
Doctoral students pInar Yolum
Nirmit Desai
Amit K. Chopra

Munindar P. Singh is a full professor in the Department of Computer Science at North Carolina State University.[1][2][3] He is an IEEE Fellow.[4]


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.[5]


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).[6] 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[7] in which he introduced this idea was awarded the IFAAMAS 2016 Influential Paper Award.[8] Taking this line of thinking further, Singh, in joint work with his Ph.D. student pInar Yolum, introduced the abstraction of commitment protocols.[9]

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.[10] Therefore, one need not model specify control flow at all in interaction protocols.


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