Interdependent multi-issue negotiation for energy exchange in remote communities

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Abstract

We present a novel negotiation protocol to facilitate energy exchange between off-grid homes that are equipped with renewable energy generation and electricity storage. Our protocol imposes restrictions over negotiation such that it reduces the complex interdependent multi-issue negotiation to one where agents have a strategy profile in subgame perfect Nash equilibrium. We show that our negotiation protocol is tractable, concurrent, scalable and leads to Pareto-optimal outcomes in a decentralised manner. We empirically evaluate our protocol and show that, in this instance, a society of agents can (i) improve the overall utilities by 14% and (ii) reduce their overall use of the batteries by 37%. Copyright © 2013, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

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APA

Alam, M., Rogers, A., & Ramchurn, S. D. (2013). Interdependent multi-issue negotiation for energy exchange in remote communities. In Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013 (pp. 25–31). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v27i1.8614

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