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» Secrecy in Multiagent Systems
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STAIRS
2008
113views Education» more  STAIRS 2008»
15 years 8 months ago
Integrating individual and social intelligence into module-based agents without central coordinator
Robots are complex entities that can be modeled as multi-agent systems. The multi-agent paradigm provides an integrated intelligence framework such as a path planning agent that us...
Bianca Innocenti, Beatriz López, Joaquim Sa...
AAAI
2004
15 years 8 months ago
Performance Bounded Reinforcement Learning in Strategic Interactions
Despite increasing deployment of agent technologies in several business and industry domains, user confidence in fully automated agent driven applications is noticeably lacking. T...
Bikramjit Banerjee, Jing Peng
ENTCS
2006
181views more  ENTCS 2006»
15 years 6 months ago
Conditional Doxastic Models: A Qualitative Approach to Dynamic Belief Revision
In this paper, we present a semantical approach to multi-agent belief revision and belief update. For this, we introduce relational structures called conditional doxastic models (...
Alexandru Baltag, Sonja Smets
ICML
2006
IEEE
16 years 7 months ago
Relational temporal difference learning
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
Nima Asgharbeygi, David J. Stracuzzi, Pat Langley
IAT
2009
IEEE
16 years 1 months ago
Optimization-Based Collision Avoidance for Cooperating Airplanes
Application of autonomous intelligent systems into airspace domain is very important nowadays. The paper presents decentralized collision avoidance algorithm utilizing a solution ...
David Sislák, Premysl Volf, Michal Pechouce...