S
Sarvapali D. Ramchurn
Researcher at University of Southampton
Publications - 239
Citations - 9146
Sarvapali D. Ramchurn is an academic researcher from University of Southampton. The author has contributed to research in topics: Smart grid & Computer science. The author has an hindex of 43, co-authored 220 publications receiving 8332 citations. Previous affiliations of Sarvapali D. Ramchurn include University of Oxford & Universiti Brunei Darussalam.
Papers
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Journal ArticleDOI
Trust in multi-agent systems
TL;DR: The state of the art of trust in multi-agent systems is surveyed and an account of the main directions along which research efforts are being focused is provided and the areas that require further research are outlined.
Journal ArticleDOI
Argumentation-based negotiation
Iyad Rahwan,Sarvapali D. Ramchurn,Nicholas R. Jennings,Peter McBurney,Simon Parsons,Liz Sonenberg +5 more
TL;DR: This article provides a conceptual framework through which the core elements and features required by agents engaged in argumentation-based negotiation, as well as the environment that hosts these agents are outlined, and surveys and evaluates existing proposed techniques in the literature.
Journal ArticleDOI
Putting the 'smarts' into the smart grid: a grand challenge for artificial intelligence
TL;DR: A research agenda for making the smart grid a reality is presented, with a focus on energy efficiency, smart grids and smart cities.
Journal Article
Agent-Mediated Electronic Commerce
G. van Valkenhoef,Sarvapali D. Ramchurn,P. Vytellingum,Nicholas R. Jennings,Rineke Verbrugge +4 more
TL;DR: In this paper, the state of the art of agent-mediated electronic commerce (e-commerce), concentrating particularly on the business-to-consumer (B2C) and businessto-business (b2B) aspects, is surveyed and analyzed.
Proceedings ArticleDOI
Agent-based control for decentralised demand side management in the smart grid
TL;DR: This paper introduces a novel model of a Decentralised Demand Side Management mechanism that allows agents, by adapting the deferment of their loads based on grid prices, to coordinate in a decentralised manner and demonstrates that, through an emergent coordination of the agents, the peak demand of domestic consumers in the grid can be reduced.