S
Shriniwas Kulkarni
Researcher at University of Southern California
Publications - 6
Citations - 478
Shriniwas Kulkarni is an academic researcher from University of Southern California. The author has contributed to research in topics: Constraint satisfaction problem & Constraint satisfaction. The author has an hindex of 6, co-authored 6 publications receiving 466 citations. Previous affiliations of Shriniwas Kulkarni include Florida Institute for Human and Machine Cognition.
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Book ChapterDOI
Dimensions of adjustable autonomy and mixed-initiative interaction
Jeffrey M. Bradshaw,Paul J. Feltovich,Hyuckchul Jung,Shriniwas Kulkarni,William Taysom,Andrzej Uszok +5 more
TL;DR: This chapter describes some common dimensions of adjustable autonomy and mixed-initiative interaction in deployed systems in an effort to better understand these important but ill-characterized topics.
Book ChapterDOI
A Dynamic Distributed Constraint Satisfaction Approach to Resource Allocation
TL;DR: This paper defines the notion of Dynamic Distributed Constraint Satisfaction Problem (DyDCSP) and proposes two generalized mappings from distributed resource allocation to DyDCSP, each proven to correctly perform resource allocation problems of specific difficulty.
Proceedings ArticleDOI
Argumentation as distributed constraint satisfaction: applications and results
TL;DR: This paper presents distributed constraint satisfaction problem (DCSP) as a computational model for investigating NVA, and model argumentation as constraint propagation in DCSP, which enables it to study convergence properties of argumentation, and formulate and experimentally compare 16 different NVA strategies with different levels of agent cooperativeness towards others.
Journal Article
Dimensions of adjustable autonomy and mixed-initiative-interaction
Jeffrey M. Bradshaw,Paul J. Feltovich,Hyuckchul Jung,Shriniwas Kulkarni,William Taysom,Andrzej Uszok +5 more
TL;DR: In this paper, the authors describe some common dimensions in an effort to better understand adjustable autonomy and mixed-initiative interaction in deployed systems, and develop a formalism and implementation of these concepts as part of the KAoS framework in the context of policy-governed autonomous systems.
Journal Article
Dynamic distributed resource allocation: A distributed constraint Satisfaction approach
TL;DR: The paper defines the notion of Dynamic Distributed Constraint Satisfaction Problem (DyDCSP), a generalized mapping from distributed resource allocation to DyDCSP that is proven to correctly perform resource allocation problems of specific difficulty.