Restructurable representations of negotiation
Management Science
Multiagent negotiation under time constraints
Artificial Intelligence
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
The Design of Intelligent Agents: A Layered Approach
The Design of Intelligent Agents: A Layered Approach
Integrated Agent Architecture: Execution and Recognition of Mental-States
Proceedings of the First Australian Workshop on DAI: Distributed Artificial Intelligence: Architecture and Modelling
Towards a Generic Negotiation Model for Intentional Agents
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
An efficient multilateral negotiation system for pervasive computing environments
Engineering Applications of Artificial Intelligence
The Evolution of Negotiation and Impasse in Two-Party Multi-issue Bargaining
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
A framework for building intelligent SLA negotiation strategies under time constraints
GECON'10 Proceedings of the 7th international conference on Economics of grids, clouds, systems, and services
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Autonomous agents are being increasingly used in a wide range of applications. Most applications involve or require multiple agents operating in complex environments and, over time, conflicts inevitably occur among them. Negotiation is the predominant process for resolving conflicts. Recent interest in electronic commerce has also given increased importance to negotiation. This paper presents a generic negotiation model for autonomous agents that handles multi-party, multi-issue and repeated rounds. The model is based on computationally tractable assumptions.