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ML
2007
ACM
104views Machine Learning» more  ML 2007»
13 years 8 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
14 years 2 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»
13 years 9 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
13 years 9 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
13 years 10 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