Work

Cooperative Multi-Agent Planning

Year: 2017

Type: article

Abstract: Cooperative multi-agent planning (MAP) is a relatively recent research field that combines technologies, algorithms, and techniques developed by the Artificial Intelligence Planning and Multi-Agent Systems communities. While planning has been generally treated as a single-agent task, MAP generalizes this concept by considering multiple intelligent agents that work cooperatively to develop a course of action that satisfies the goals of the group. This article reviews the most relevant approaches to MAP, putting the focus on the solvers that took part in the 2015 Competition of Distributed and Multi-Agent Planning, and classifies them according to their key features and relative performance.

Source: ACM Computing Surveys

DOI: 10.1145/3128584

Authors: Alejandro Torreño, Eva Onaindia, Antonín Komenda, Michal Štolba

Institutions: Universitat Politècnica de València, Czech Technical University in Prague

Language: English

Topic: AI-based Problem Solving and Planning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: České Vysoké Učení Technické v Praze, Grantová Agentura České Republiky, Universitat Politècnica de València

Awards: G7309945104, Heuristic Search for Multiagent and Factored Planning