Skeptical reason maintenance and belief revision
Artificial Intelligence
Reasoning agents in dynamic domains
Logic-based artificial intelligence
Extending the Smodels system with cardinality and weight constraints
Logic-based artificial intelligence
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Knowledge Representation, Reasoning, and Declarative Problem Solving
Knowledge Representation, Reasoning, and Declarative Problem Solving
Multiagent Compromises, Joint Fixpoints, and Stable Models
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I
Preferred Answer Sets for Ordered Logic Programs
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Smodels - An Implementation of the Stable Model and Well-Founded Semantics for Normal LP
LPNMR '97 Proceedings of the 4th International Conference on Logic Programming and Nonmonotonic Reasoning
MINERVA - A Dynamic Logic Programming Agent Architecture
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Extending Answer Sets for Logic Programming Agents
Annals of Mathematics and Artificial Intelligence
Conflict-driven answer set solving
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
GrinGo: a new grounder for answer set programming
LPNMR'07 Proceedings of the 9th international conference on Logic programming and nonmonotonic reasoning
A social semantics for multi-agent systems
LPNMR'05 Proceedings of the 8th international conference on Logic Programming and Nonmonotonic Reasoning
The SOCS computational logic approach to the specification and verification of agent societies
GC'04 Proceedings of the 2004 IST/FET international conference on Global Computing
Coordination between logical agents
CLIMA'04 Proceedings of the 5th international conference on Computational Logic in Multi-Agent Systems
Specifying and analysing agent-based social institutions using answer set programming
AAMAS'05 Proceedings of the 2005 international conference on Agents, Norms and Institutions for Regulated Multi-Agent Systems
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In recent years, numerous papers have shown the power and flexibility of answer set programming (ASP) in the modeling of intelligent agents. This is not surprising since ASP was developed specifically for non-monotonic reasoning - including common-sense reasoning required in agent modeling. When dealing with multiple agents exchanging information, a common problem is dealing with conflicting information. As with humans, our intelligent agents may trust information from some agents more and than from others. In this paper, we present ASTREA, a methodology and framework for modeling multi-agent systems with trust. Starting from agents written in standard AnsP rolog, we model the agent's knowledge, beliefs, reasoning capabilities and trust in other agents together with a conflict resolution strategy in CR-Prolog. The system is then able to advise the agent what information to take into account and what to discard.