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» Using answer set programming to model multi-agent scenarios ...
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ATAL
2010
Springer
13 years 4 months ago
Using answer set programming to model multi-agent scenarios involving agents' knowledge about other's knowledge
One of the most challenging aspects of reasoning, planning, and acting in a multi-agent domain is reasoning about what the agents know about the knowledge of their fellows, and to...
Chitta Baral, Gregory Gelfond, Tran Cao Son, Enric...
AAMAS
2000
Springer
13 years 4 months ago
Rational Coordination in Multi-Agent Environments
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents, and present a framework that uses this paradigm t...
Piotr J. Gmytrasiewicz, Edmund H. Durfee
AAAI
2006
13 years 6 months ago
Distributed Interactive Learning in Multi-Agent Systems
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
Jian Huang, Adrian R. Pearce
CLIMA
2006
13 years 5 months ago
Adding Evolving Abilities to a Multi-Agent System
This paper reports on a fertile marriage between madAgents, a Java and Prolog based multi-agent platform, and EVOLP, a logic programming based language to represent and reason abou...
João Leite, Luís Soares
AAAI
2008
13 years 6 months ago
Using Answer Set Programming and Lambda Calculus to Characterize Natural Language Sentences with Normatives and Exceptions
One way to solve the knowledge acquisition bottleneck is to have ways to translate natural language sentences and discourses to a formal knowledge representation language, especia...
Chitta Baral, Juraj Dzifcak, Tran Cao Son