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A Real-Time Negotiation Model and A Multi-Agent Sensor Network Implementation

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Abstract

This paper describes a negotiation model that incorporates real-time issues for autonomous agents. This model consists of two important ideas: a real-time logical negotiation protocol and a case-based negotiation model. The protocol integrates a real-time Belief-Desire-Intention (BDI) model, a temporal logic model, and communicative acts for negotiation. This protocol explicitly defines the logical and temporal relationships of different knowledge states, facilitating real-time designs such as multi-threaded processing, state profiling and updating, and a set of real-time enabling functional predicates in our implementation. To further support the protocol, we use a case-based reasoning model for negotiation strategy selection. An agent learns from its past experience by deriving a negotiation strategy from the most similar and useful case to its current situation. Guided by the strategy, the agent negotiates with its partners using an argumentation-based negotiation protocol. The model is time and situation aware such that each agent changes its negotiation behavior according to the progress and status of the ongoing negotiation and its current agent profile. We apply the negotiation model to a resource allocation problem and obtain promising results.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, University of Nebraska, 256 Avery Hall, Lincoln, NE, 68588-0115, USA

    Leen-Kiat Soh

  2. Information and Telecommunication Technology Center (ITTC), Department of Electrical Engineering and Computer Science, University of Kansas, Nichols Hall, 2335 Irving Hill Road, Lawrence, KS, 66045-7612, USA

    Costas Tsatsoulis

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  1. Leen-Kiat Soh
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  2. Costas Tsatsoulis
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Soh, LK., Tsatsoulis, C. A Real-Time Negotiation Model and A Multi-Agent Sensor Network Implementation. Auton Agent Multi-Agent Syst 11, 215–271 (2005). https://doi.org/10.1007/s10458-005-0539-5

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