Integrative negotiation in complex organizational agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
The evolution and stability of cooperative traits
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
The Influence of Social Dependencies on Decision-Making: Initial Investigations with a New Game
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Learning social preferences in games
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Socially intelligent reasoning for autonomous agents
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Resolving crises through automated bilateral negotiations
Artificial Intelligence
Different orientations of males and females in computer-mediated negotiations
Computers in Human Behavior
An "Ethical" Game-Theoretic Solution Concept for Two-Player Perfect-Information Games
WINE '08 Proceedings of the 4th International Workshop on Internet and Network Economics
Acquisition of a concession strategy in multi-issue negotiation
Web Intelligence and Agent Systems
Supporting collaborative activity
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Choosing between heuristics and strategies: an enhanced model for decision-making
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Agent decision-making in open mixed networks
Artificial Intelligence
Toward a Myers-Briggs type indicator model of agent behavior in multiagent teams
MABS'10 Proceedings of the 11th international conference on Multi-agent-based simulation
An Adaptive Agent for Negotiating with People in Different Cultures
ACM Transactions on Intelligent Systems and Technology (TIST)
Hi-index | 0.00 |
To establish cooperative relationships, agents must be willing to engage in helpful behavior and to keep their commitments to other agents. However, in uncertain and dynamic environments, it is difficult to identify the degree of helpfulness of other agents. This paper describes a model in which agents' helpfulness is characterized in terms of cooperation and reliability. An agent chooses an action based on its estimate of others' degree of helpfulness given the dependency relationships that hold between the agent and others. This model was evaluated in a negotiation game in which players needed to exchange resources to reach their goals, but did not have information about each others' resources. Results showed that agents using the model could identify and adapt to others' varying degree of helpfulness even while the other agents were constantly changing their strategy. Moreover, agents that varied their degree of helpfulness depending on their estimate of others' helpfulness outperformed agents who did not, as well as increased the social welfare of the group.