Software agents
Methods for task allocation via agent coalition formation
Artificial Intelligence
Readings in agents
Socially conscious decision-making
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Identifying partners and sustenance of stable, effective coalitions
Proceedings of the fifth international conference on Autonomous agents
Evolutionary On-line Learning of Cooperative Behavior with Situation-Action-Pairs
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Coalition Formation for Large-Scale Electronic Markets
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Believing Others: Pros and Cons
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Intention Reconciliation by Collaborative Agents
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Stable strategies for sharing information among agents
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Coalition calculation in a dynamic agent environment
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Degree of Local Cooperation and Its Implication on Global Utility
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Adapting Agent Expertise Based on Future Expectations
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Reciprocity Based Cooperation in a Limited Resource Environment
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Reciprocal resource sharing in P2P environments
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Monopolizing markets by exploiting trust
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Learning task-specific trust decisions
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
OAR: a formal framework for multi-agent negotiation
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Achieving cooperation in a minimally constrained environment
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Analysing partner selection through exchange values
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
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Autonomous agents interacting in an open world can be considered to be primarily driven by self interests. Previous work in this area has prescribed a strategy of reciprocal behavior, based on past interactions, for promoting and sustaining cooperation among such self-interested agents. Here we present a new mechanism where agents base their decisions both on historical data as well as on future interaction expectations. A decision mechanism is presented that compares current helping cost with expected future savings from interaction with the agent requesting help. We experiment with heterogeneous agents that have varying expertise for different job types. We evaluate the effect of both change of agent expertise and distribution of task types on subsequent agent relationships. The reciprocity mechanism based on future expectations is found to be robust and flexible in adjusting to the environmental dynamics.