Interdependent multi-issue negotiation for energy exchange in remote communities

Alam, Muddasser; Rogers, Alex; Ramchurn, Sarvapali D.

doi:10.1145/2516911.2516920

Cited by 8 publications

(6 citation statements)

References 10 publications

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“…To make the negotiation competitive, we define each negotiator's preferences, and a scoring function, as in Lewis et al (2017). In addition, we consider the interdependency (Kardan and Janzadeh, 2008;Alam et al, 2013) between a pair of issues such that the negotiators cannot easily reach an optimal agreement (Ito et al, 2006), leading them to seek a compromise solution through dialogue.…”

Section: Mathematical Designmentioning

confidence: 99%

Dialogue Act-based Breakdown Detection in Negotiation Dialogues

Yamaguchi

Iwasa²,

Fujita

2021

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

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Thanks to the success of goal-oriented negotiation dialogue systems, studies of negotiation dialogue have gained momentum in terms of both human-human negotiation support and dialogue systems. However, the field suffers from a paucity of available negotiation corpora, which hinders further development and makes it difficult to test new methodologies in novel negotiation settings. Here, we share a human-human negotiation dialogue dataset in a job interview scenario that features increased complexities in terms of the number of possible solutions and a utility function. We test the proposed corpus using a breakdown detection task for human-human negotiation support. We also introduce a dialogue act-based breakdown detection method, focusing on dialogue flow that is applicable to various corpora. Our results show that our proposed method features comparable detection performance to text-based approaches in existing corpora and better results in the proposed dataset.

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Section: Mathematical Designmentioning

confidence: 99%

Dialogue Act-based Breakdown Detection in Negotiation Dialogues

Yamaguchi

Iwasa²,

Fujita

2021

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

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“…[12] proposed energy trading protocol based on a energy trading policy. [1] proposed multiagent negotiation protocol for energy trading. [20] showed intelligent usage of energy storage to facilitate improvement of energy trading among MGs.…”

Section: Related Literaturementioning

confidence: 99%

Peer to Peer Energy Trade Among Microgrids Using Blockchain Based Distributed Coalition Formation Method

Thakur

Breslin

2018

Technol Econ Smart Grids Sustain Energy

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Unpredictable environmental conditions make renewable energy generators of a microgrid unreliable. Energy trade among microgrids may reduce dependency on utility grid (which uses traditional energy generator that causes massive greenhouse gas emission). Coalition formation algorithms are popular tools to execute energy trade among microgrids. In this paper we develop coalition formation method using the blockchain mechanism. Advantages of our solution over existing coalition formation algorithms for microgrid energy trade are as follows:-Distributed execution: We show how to find coalition structure in a distributed fashion. It improves robustness of the computation compared with centralized executions of coalition formation algorithms. This is because failure of a centralized computing entity will lead to the failure of energy trade among all MGs but in a distributed solution such problem can be avoided. -Asynchronous execution: In our solution, multiple coalition formation algorithms are executed asynchronously. Most of the existing solutions execute coalition formation algorithms at regular time intervals in synchronous fashion. Our solution reduces the waiting time for a microgrid to trade energy with other microgrids. Energy requirement of microgrids may depend on weather and changes in their energy requirement may be not synchronous, i.e., energy requirement of all microgrids may not change at the same time and after regular intervals. -Scalable: We show that the distributed execution of coalition formation algorithm is more scalable than centralized algorithms for coalition formation. -Convergence: We show that the proposed distributed algorithm converges quickly. -Local energy trade: We show that the proposed distribution algorithm promotes local energy trade to reduce energy loss due to long transmission. It should be noted that feasibility of local energy trade depends on satisfaction of constraints in distribution network. Our solution aim to reduce the distance between matched energy supplier and energy provider if the distribution network allows such an energy transfer. -Trust: The trust between a microgrid and the computation entity who is responsible for generating coalition structure is ignored in the existing solutions. We use a blockchain to eliminate such trust establishment requirement. -Security and Privacy: The existing literature ignores the security of the computation framework. A MG's energy surplus / deficit reveals its energy consumption patterns and it may cause security problems. We mitigate such security problems using the blockchain mechanism.

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“…Indeed, there are many promising opportunities for applying negotiation in such repeated encounters. For example, in community energy exchange [2], agents can trade energy from storage and local renewable sources between neighboring homes and businesses to reduce peaks, carbon emissions and the load on the local network. These interactions would occur on a daily basis or even more frequently.…”

Section: Long-term Perspectivementioning

confidence: 99%

Computers That Negotiate on Our Behalf: Major Challenges for Self-sufficient, Self-directed, and Interdependent Negotiating Agents

Baarslag

Kaisers

Gerding

et al. 2017

Autonomous Agents and Multiagent Systems

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Abstract.Computers that negotiate on our behalf hold great promise for the future and will even become indispensable in emerging application domains such as the smart grid, autonomous driving, and the Internet of Things. Much research has thus been expended to create agents that are able to negotiate in an abundance of circumstances. However, up until now, truly autonomous negotiators have rarely been deployed in realworld applications. This paper sizes up current negotiating agents and explores a number of technological, societal and ethical challenges that autonomous negotiation systems are bringing about. The questions we address are: in what sense are these systems autonomous, what has been holding back their further proliferation, and is their spread something we should encourage? We relate the automated negotiation research agenda to dimensions of autonomy and distill three major themes that we believe will propel autonomous negotiation forward: accurate representation, long-term perspective, and user trust. We argue these orthogonal research directions need to be aligned and advanced in unison to sustain tangible progress in the field.

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Interdependent multi-issue negotiation for energy exchange in remote communities

Cited by 8 publications

References 10 publications

Dialogue Act-based Breakdown Detection in Negotiation Dialogues

Dialogue Act-based Breakdown Detection in Negotiation Dialogues

Peer to Peer Energy Trade Among Microgrids Using Blockchain Based Distributed Coalition Formation Method

Computers That Negotiate on Our Behalf: Major Challenges for Self-sufficient, Self-directed, and Interdependent Negotiating Agents

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