• Publications
  • Influence
Trust in multi-agent systems
TLDR
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.
An Anytime Algorithm for Optimal Coalition Structure Generation
TLDR
An anytime algorithm to solve the coalition structure generation problem, which uses a novel representation of the search space, which partitions the space of possible solutions into sub-spaces such that it is possible to compute upper and lower bounds on the values of the best coalition structures in them.
Putting the 'smarts' into the smart grid
TLDR
A research agenda for making the smart grid a reality is presented, with a focus on energy efficiency, smart grids and smart cities.
Agent-based control for decentralised demand side management in the smart grid
TLDR
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.
Decentralized Coordination in RoboCup Rescue
TLDR
A novel decentralized solution to the coalition formation process that pervades disaster management is provided using the state-of-the-art Max-Sum algorithm that provides a completely decentralized message-passing solution and a novel algorithm (F-Max-Sum) that avoids sending redundant messages and efficiently adapts to changes in the environment.
Argumentation-based negotiation
TLDR
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.
Understanding domestic energy consumption through interactive visualisation: a field study
TLDR
FigureEnergy is presented, a novel interactive visualisation that allows users to annotate and manipulate a graphical representation of their own electricity consumption data, and therefore make sense of their past energy usage and understand when, how, and to what end, some amount of energy was used.
Agent-based micro-storage management for the Smart Grid
TLDR
This paper provides a general framework within which to analyse the Nash equilibrium of an electricity grid and devise new agent-based storage learning strategies that adapt to market conditions and shows that in the UK electricity market, it is possible to achieve savings of up to 13% on average for a consumer on his electricity bill with a storage device of 4 kWh.
Trading agents for the smart electricity grid
TLDR
A novel market-based mechanism based on the Continuous Double Auction and automatically manages the congestion within the system by pricing the flow of electricity and introduces mechanisms to ensure the system can cope with unforseen demand or increased supply capacity in real time.
A Distributed Anytime Algorithm for Dynamic Task Allocation in Multi-Agent Systems
We introduce a novel distributed algorithm for multi-agent task allocation problems where the sets of tasks and agents constantly change over time. We build on an existing anytime algorithm
...
...