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» Adversarial Behavior in Multi-agent Systems
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DARS
2000
Springer
173views Robotics» more  DARS 2000»
14 years 2 days ago
On Behavior Classification in Adversarial Environments
In order for robotic systems to be successful in domains with other agents possibly interfering with the accomplishing of goals, the agents must be able to adapt to the opponents&#...
Patrick Riley, Manuela M. Veloso
CORR
2000
Springer
92views Education» more  CORR 2000»
13 years 8 months ago
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
José M. Vidal, Edmund H. Durfee
VLDB
2005
ACM
135views Database» more  VLDB 2005»
14 years 1 months ago
Distributed Privacy Preserving Information Sharing
In this paper, we address issues related to sharing information in a distributed system consisting of autonomous entities, each of which holds a private database. Semi-honest beha...
Nan Zhang 0004, Wei Zhao
KESAMSTA
2010
Springer
14 years 1 months ago
Classifying Agent Behaviour through Relational Sequential Patterns
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...
DMS
2008
167views Multimedia» more  DMS 2008»
13 years 10 months ago
Testing Multi-agent Systems for Deadlock Detection Based on UML Models
There is a growing demand for Multi-Agent Systems (MAS) in the software industry. The autonomous agent interaction in a dynamic software environment can potentially lead to runtim...
Nariman Mani, Vahid Garousi, Behrouz Homayoun Far