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2016 | OriginalPaper | Buchkapitel

Adaptive Conceding Strategies for Negotiating Agents Based on Interval Type-2 Fuzzy Logic

verfasst von : Jieyu Zhan, Xudong Luo

Erschienen in: Knowledge Science, Engineering and Management

Verlag: Springer International Publishing

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Abstract

In human-agent automated negotiations, one of crucial problems is how a negotiating agent updates conceding strategies in the light of the new information during the course of a negotiation. To this end, this paper proposes a novel model of a seller negotiating agent, which can be used in human-agent negotiations. More specifically, it can dynamically change its conceding strategies according to the remaining time and opponents’ cooperative degree. We use type-2 fuzzy rules to determine such changes because the rules of this kind can well reflect uncertain information in human-computer negotiations. Finally, our agent is evaluated by both agent-agent and human-agent experiments.

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Vorheriges Kapitel Situation-Aware Rating Prediction Using Fuzzy Rules

Nächstes Kapitel Semiotic Rules Generation and Inferences Reasoning for Movie Documents

It takes about two pages to display the whole algorithm. So, for the sake of space, we do not show it here but the reader can check out its details in [12].

The methodology of the seller agent model can also be applied to a buyer agent. But in this paper, we will pay more attention in the situation where the seller is an agent with adaptive strategies, while the buyer is a human, or an agent with fixed strategies.

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Titel: Adaptive Conceding Strategies for Negotiating Agents Based on Interval Type-2 Fuzzy Logic
verfasst von: Jieyu Zhan
Xudong Luo
Verlag: Springer International Publishing
Buch: Knowledge Science, Engineering and Management
Print ISBN: 978-3-319-47649-0

Electronic ISBN: 978-3-319-47650-6

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-47650-6_18

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