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Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques
A negotiation between agents is typically an incomplete information game, where the agents
initially do not know their opponent's preferences or strategy. This poses a challenge, as …
initially do not know their opponent's preferences or strategy. This poses a challenge, as …
Neighborhood-level coordination and negotiation techniques for managing demand-side flexibility in residential microgrids
The management of demand-side flexibility plays a key role in reliable integration of
intermittent renewable energy sources into residential microgrids. Residential microgrid is a …
intermittent renewable energy sources into residential microgrids. Residential microgrid is a …
Open problems in cooperative AI
Problems of cooperation--in which agents seek ways to jointly improve their welfare--are
ubiquitous and important. They can be found at scales ranging from our daily routines--such …
ubiquitous and important. They can be found at scales ranging from our daily routines--such …
Distributed constraint optimization problems and applications: A survey
The field of multi-agent system (MAS) is an active area of research within artificial
intelligence, with an increasingly important impact in industrial and other real-world …
intelligence, with an increasingly important impact in industrial and other real-world …
[PDF][PDF] Automated negotiation: prospects, methods and challenges
An increasing number of computer systems are being viewed in terms of autonomous
agents. There are two main drivers to this trend. Firstly, agents are being advocated as a …
agents. There are two main drivers to this trend. Firstly, agents are being advocated as a …
Using similarity criteria to make issue trade-offs in automated negotiations
Automated negotiation is a key form of interaction in systems that are composed of multiple
autonomous agents. The aim of such interactions is to reach agreements through an …
autonomous agents. The aim of such interactions is to reach agreements through an …
A survey of collectives
Due to the increasing sophistication and miniaturization of computational components,
complex, distributed systems of interacting agents are becoming ubiquitous. Such systems …
complex, distributed systems of interacting agents are becoming ubiquitous. Such systems …
Game theory and decision theory in multi-agent systems
In the last few years, there has been increasing interest from the agent community in the use
of techniques from decision theory and game theory. Our aims in this article are firstly to …
of techniques from decision theory and game theory. Our aims in this article are firstly to …
Autonomous agents for business process management
Traditional approaches to managing business processes are often inadequate for large-
scale, organisation-wide, dynamic settings. However, since Internet and Intranet …
scale, organisation-wide, dynamic settings. However, since Internet and Intranet …
An introduction to collective intelligence
This paper surveys the emerging science of how to design a``COllective
INtelligence''(COIN). A COIN is a large multi-agent system where:(i) There is little to no …
INtelligence''(COIN). A COIN is a large multi-agent system where:(i) There is little to no …