SOAR: an architecture for general intelligence
Artificial Intelligence
Cooperating agents: a unified theory of communication and social structure
Distributed artificial intelligence: vol. 2
Cooperation in industrial multi-agent systems
Cooperation in industrial multi-agent systems
Computational organization theory
Computational organization theory
TASCCS: a synthesis of double-AISS and plural-soar
Computational organization theory
Monitoring strategies for embedded agents: experiments and analysis
Adaptive Behavior
Active Databases and Agent Systems - A Comparison
RIDS '95 Proceedings of the Second International Workshop on Rules in Database Systems
MAAMAW '92 Selected papers from the 4th European Workshop on on Modelling Autonomous Agents in a Multi-Agent World, Artificial Social Systems
A Formal Specification of dMARS
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Applying conflict management strategies in BDI agents for resource management in computational grids
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
Towards heterogeneous agent teams
Mutli-agents systems and applications
Enhancing Multi-Agent Based Simulation with Human-Like Decision Making Strategies
MABS '00 Proceedings of the Second International Workshop on Multi-Agent-Based Simulation-Revised and Additional Papers
Dialogue Modelling for a Conversational Agent
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Towards Heterogeneous Agent Teams
EASSS '01 Selected Tutorial Papers from the 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School on Multi-Agent Systems and Applications
Specifying Agent Behaviour with Use Cases
PRIMA '00 Proceedings of the Third Pacific Rim International Workshop on Multi-Agents: Design and Applications of Intelligent Agents
A survey of multi-agent organizational paradigms
The Knowledge Engineering Review
A theoretical framework on proactive information exchange in agent teamwork
Artificial Intelligence
Information needs in agent teamwork
Web Intelligence and Agent Systems
The human agent virtual environment
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
CAST: collaborative agents for simulating teamwork
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
A theoretical framework on proactive information exchange in agent teamwork
Artificial Intelligence
A flexible framework for sharedplans
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
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The problem of modelling air missions is part of a larger problem—simulating possible war-like scenarios in the air, sea, and onland. In modelling such military systems one is required to model the behaviour of various actors and the resources that are available to them. One aspect of this problem is the modelling of a group of actors as a team and then modelling the coordinated behaviour of such a team to achieve a joint goal.In the domain of air mission modelling the actors are pilots who controlaircraft and their behaviour is referred to as tactics. In this paper wepresent the approach we adopted in modelling teams and team tactics as partof the development of the Smart Whole AiR Mission Model (SWARMM) for theAir Operations Division of the Australian Defence Science and TechnologyOrganization. In our approach teams are composed of sub-teams and adoptorganizational structures. Such structures define the responsibilities ofthe sub-teams towards the mission to be achieved as well as towards thecontrol and coordination of the sub-teams. We also describe howcommunication is used when adopting a variety of control and coordinationstrategies and how one could reason about the choice of organizationalstructures for a given mission and situation.