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ATAL
2011
Springer
12 years 7 months ago
A computational model of achievement motivation for artificial agents
Computational models of motivation are tools that artificial agents can use to autonomously identify, prioritize, and select the goals they will pursue. Previous research has focu...
Kathryn Elizabeth Merrick
ATAL
2010
Springer
13 years 8 months ago
Evolving policy geometry for scalable multiagent learning
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
AAMAS
2008
Springer
13 years 7 months ago
Agents that argue and explain classifications
Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent/incomplete/uncertain knowledge, based on the construction and the comparison of ar...
Leila Amgoud, Mathieu Serrurier
AUSAI
2003
Springer
14 years 21 days ago
Dynamic Agent Ordering in Distributed Constraint Satisfaction Problems
The distributed constraint satisfaction problem (CSP) is a general formalisation used to represent problems in distributed multiagent systems. To deal with realistic problems, mult...
Lingzhong Zhou, John Thornton, Abdul Sattar
ICDCSW
2007
IEEE
13 years 7 months ago
A Middleware Support for Agent-Based Application Mobility in Pervasive Environments
—Application mobility is an efficient way to mask uneven conditioning and reduce users’ distractions in pervasive environments. However, since mobility brings more dynamism and...
Yu Zhou, Jiannong Cao, Vaskar Raychoudhury, Joanna...