A logic-based calculus of events
New Generation Computing
Theoretical Computer Science - Thirteenth International Colloquim on Automata, Languages and Programming, Renne
Intention is choice with commitment
Artificial Intelligence
Logic programming and databases
Logic programming and databases
Temporal logic (vol. 1): mathematical foundations and computational aspects
Temporal logic (vol. 1): mathematical foundations and computational aspects
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
AgentSpeak(L): BDI agents speak out in a logical computable language
MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
Formalising the contract net as a goal-directed system
MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
Collaborative plans for complex group action
Artificial Intelligence
JAM: a BDI-theoretic mobile agent architecture
Proceedings of the third annual conference on Autonomous Agents
Learning the risk board game with classifier systems
Proceedings of the 2002 ACM symposium on Applied computing
Autonomous Agents and Multi-Agent Systems
Fundamenta Informaticae
A Survey of Concurrent METATEM - the Language and its Applications
ICTL '94 Proceedings of the First International Conference on Temporal Logic
Opponent Modeling in Multi-Agent Systems
IJCAI '95 Proceedings of the Workshop on Adaption and Learning in Multi-Agent Systems
MAAMAW '92 Selected papers from the 4th European Workshop on on Modelling Autonomous Agents in a Multi-Agent World, Artificial Social Systems
On Pruning Techniques for Multi-Player Games
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
An Adversarial Planning Approach to Go
CG '98 Proceedings of the First International Conference on Computers and Games
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Collaborative Neuro-BDI Agents in Container Terminals
AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
Learning and Exploiting Relative Weaknesses of Opponent Agents
Autonomous Agents and Multi-Agent Systems
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
An adversarial environment model for bounded rational agents in zero-sum interactions
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
An Empirical Investigation of the Adversarial Activity Model
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Multi-Agent Programming: Languages, Tools and Applications
Multi-Agent Programming: Languages, Tools and Applications
Prob-Maxn: playing N-player games with opponent models
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Supporting collaborative activity
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Decision-making in an embedded reasoning system
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Providing a recommended trading agent to a population: a novel approach
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A logic-based model of intention formation and action for multi-agent subcontracting
Artificial Intelligence
Mixing search strategies for multi-player games
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Reactive reasoning and planning
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Agent architectures for flexible, practical teamwork
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Adversarial behavior in multi-agent systems
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
Goal representation for BDI agent systems
ProMAS'04 Proceedings of the Second international conference on Programming Multi-Agent Systems
Hi-index | 0.00 |
Multiagent research provides an extensive literature on formal Beliefs-Desires-Intentions (BDI) based models describing the notion of teamwork and cooperation. However, multiagent environments are often not cooperative nor collaborative; in many cases, agents have conflicting interests, leading to adversarial interactions. This form of interaction has not yet been formally defined in terms of the agents mental states, beliefs, desires and intentions. This paper presents the Adversarial Activity model, a formal Beliefs-Desires-Intentions (BDI) based model for bounded rational agents operating in a zero-sum environment. In complex environments, attempts to use classical utility-based search methods with bounded rational agents can raise a variety of difficulties (e.g. implicitly modeling the opponent as an omniscient utility maximizer, rather than leveraging a more nuanced, explicit opponent model). We define the Adversarial Activity by describing the mental states of an agent situated in such environment. We then present behavioral axioms that are intended to serve as design principles for building such adversarial agents. We illustrate the advantages of using the model as an architectural guideline by building agents for two adversarial environments: the Connect Four game and the Risk strategic board game. In addition, we explore the application of our approach by analyzing log files of completed Connect Four games, and gain additional insights on the axioms' appropriateness.