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CONAN: A heuristic strategy for Concurrent Negotiating Agents: Extended Abstract

Alrayes, Bedour, Kafalı, Özgur, Stathis, Kostas (2014) CONAN: A heuristic strategy for Concurrent Negotiating Agents: Extended Abstract. In: AAMAS '14 Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems. . pp. 1585-1586. ACM ISBN 978-1-4503-2738-1. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
https://dl.acm.org/citation.cfm?id=2616074

Abstract

We develop CONAN, a heuristic agent for concurrent bilateral negotiations in electronic markets that are open, dynamic and complex. Existing strategies often omit the factors determining when a market environment is open or how an agent evaluates progress in bilateral negotiations. Such omissions in turn damage the offer-making ability of an agent and consequently the number of successful negotiations that this agent can achieve. Negotiation experiments indicate that CONAN outperforms other agents that rely on the current state-of-the-art by a significant amount in terms of the utility gained during a negotiation.

Item Type: Conference or workshop item (Poster)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
Divisions: Faculties > Sciences > School of Computing
Depositing User: Ozgur Kafali
Date Deposited: 04 Feb 2018 13:59 UTC
Last Modified: 24 Jul 2019 10:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/65883 (The current URI for this page, for reference purposes)
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