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ROBOCUP
2001
Springer
126views Robotics» more  ROBOCUP 2001»
15 years 11 months ago
Recognizing Probabilistic Opponent Movement Models
In multiagent adversarial domains, team agents should adapt to the environment and opponent. We introduce a model representation as part of a planning process for a simulated socce...
Patrick Riley, Manuela M. Veloso
NIPS
2004
15 years 8 months ago
Multi-agent Cooperation in Diverse Population Games
We consider multi-agent systems whose agents compete for resources by striving to be in the minority group. The agents adapt to the environment by reinforcement learning of the pr...
K. Y. Michael Wong, S. W. Lim, Zhuo Gao
JODS
2006
111views Data Mining» more  JODS 2006»
15 years 6 months ago
Interoperability Through Emergent Semantics A Semiotic Dynamics Approach
Abstract. We study the exchange of information in collective information systems mediated by information agents, focusing specifically on the problem of semantic interoperability. ...
Luc Steels, Peter Hanappe
AAAI
2008
15 years 9 months ago
Constrained Classification on Structured Data
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner...
AAAI
1994
15 years 8 months ago
Case-Based Acquisition of User Preferences for Solution Improvement in Ill-Structured Domains
1 We have developed an approach to acquire complicated user optimization criteria and use them to guide iterative solution improvement. The eectiveness of the approach was tested ...
Katia P. Sycara, Kazuo Miyashita