Human-Like Agents for Repeated Negotiation

Human-Like Agents for Repeated Negotiation

Negotiation Strategies for Autonomous Computational Agents

Autonomous agents operate in complex environments and, over time, conflicts inevitably occur among them. Negotiation is the predominant process for resolving conflicts. This paper presents a generic negotiation model for autonomous agents that handles multiparty, multi-issue and repeated rounds. The model is based on computationally tractable assumptions, accounts for a tight integration of the...

An Effective Conversation Tactic for Creating Value over Repeated Negotiations

Automated negotiation research focuses on getting the most value from a single negotiation, yet real-world settings often involve repeated serial negotiations between the same parties. Repeated negotiations are interesting because they allow the discovery of mutually beneficial solutions that don’t exist within the confines of a single negotiation. This paper introduces the notion of Pareto eff...

A negotiation model for autonomous computational agents: Formal description and empirical evaluation

Autonomous agents are being used in an increasing number of applications. The agents operate in complex environments and, over time, conflicts inevitably occur among them. Negotiation is the predominant process for resolving conflicts. This paper presents a generic negotiation model for autonomous agents that handles multi-party, multi-issue and single or repeated rounds. The model is based on ...

Improving Agent Performance for Multi-Resource Negotiation Using Learning Automata and Case-Based Reasoning

In electronic commerce markets, agents often should acquire multiple resources to fulfil a high-level task. In order to attain such resources they need to compete with each other. In multi-agent environments, in which competition is involved, negotiation would be an interaction between agents in order to reach an agreement on resource allocation and to be coordinated with each other. In recent ...