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AP2PC
2003
Springer
15 years 9 months ago
Multi-agent Interaction Technology for Peer-to-Peer Computing in Electronic Trading Environments
Open trading environments involve a type of peer-to-peer computing characterised by well-defined interaction protocols that are used by the traders and sometimes updated dynamicall...
Martin K. Purvis, Mariusz Nowostawski, Stephen Cra...
FLAIRS
2006
15 years 5 months ago
Adaptive, Confidence-Based Strategic Negotiations in Complex Multiagent Environments
We have designed and implemented an adaptive, confidence-based negotiation strategy for conducting multiple, concurrent negotiations among agents in dynamic, uncertain, and real-t...
Xin Li, Leen-Kiat Soh
ATAL
2010
Springer
15 years 5 months ago
Modeling collision avoidance behavior for virtual humans
In this paper, we present a new trajectory planning algorithm for virtual humans. Our approach focuses on implicit cooperation between multiple virtual agents in order to share th...
Stephen J. Guy, Ming C. Lin, Dinesh Manocha
134
Voted
AAAI
2007
15 years 6 months ago
Combining Multiple Heuristics Online
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
116
Voted
AAAI
2010
15 years 5 months ago
Smooth Optimization for Effective Multiple Kernel Learning
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...