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ML
2007
ACM
104views Machine Learning» more  ML 2007»
15 years 1 months ago
A general criterion and an algorithmic framework for learning in multi-agent systems
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu
CONCUR
2005
Springer
15 years 7 months ago
Concurrent Clustered Programming
d Abstract) Vijay Saraswat1 and Radha Jagadeesan2 1 IBM T.J. Watson Research Lab 2 School of CTI, DePaul University Abstract. We present the concurrency and distribution primitives...
Vijay A. Saraswat, Radha Jagadeesan
AEI
2004
114views more  AEI 2004»
15 years 1 months ago
Physical concept ontology for the knowledge intensive engineering framework
Knowledge intensive engineering aims at flexible applications of a variety of product life cycle knowledge, such as design, manufacturing, operations, maintenance, and recycling. ...
Masaharu Yoshioka, Yasushi Umeda, Hideaki Takeda, ...
AAMAS
2008
Springer
15 years 2 months ago
A capabilities-based model for adaptive organizations
Multiagent systems have become popular over the last few years for building complex, adaptive systems in a distributed, heterogeneous setting. Multiagent systems tend to be more r...
Scott A. DeLoach, Walamitien H. Oyenan, Eric T. Ma...
ATAL
2010
Springer
15 years 3 months ago
Virtual world builder toolkit
In this paper we present a system that automatically generates a 3D virtual world from a virtual institution (VI) specification, namely of activities that will take place in the v...
T. Trescak, M. Esteva, I. Rodriguez, J. Morales