Socially conscious decision-making
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Robustness of reputation-based trust: boolean case
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Learning and decision: making for intention reconciliation
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Messy Systems - The Target for Multi Agent Based Simulation
MABS '00 Proceedings of the Second International Workshop on Multi-Agent-Based Simulation-Revised and Additional Papers
Balancing between Reactivity and Deliberation in the ICAGENT Framework
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
A User Modeling Approach to Determining System Initiative in Mixed-Initiative AI Systems
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
Helping based on future expectations
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A reference model for designing effective reputation information systems
Journal of Information Science
A comprehensive approach to trust management
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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Research on resource-bounded agents has established that rational agents need to be able to revise their commitments in the light of new opportunities. In the context of collaborative activities, rational agents must be able to reconcile their intentions to do team-related actions with other, conflicting intentions. The SPIRE experimental system allows the process of intention reconciliation in team contexts to be simulated and studied. Prior work with SPIRE examined the effect of team norms, environmental factors, and agent utility functions on individual and group outcomes for homogeneous groups of agents. This paper extends these results to situations involving heterogeneous groups in which agents use different utility functions. The paper provides new illustrations of the ways in which SPIRE can reveal unpredicted interactions among the variables involved, and it suggests preliminary principles for designers of collaborative agents.