Work

Argument-based Cooperative Decision-Making for Autonomous Vehicles

Year: 2024

Type: article

Abstract: In this article, we focus on multi-agent multi-criteria decision problems in dynamic environments where autonomous vehicles need to cooperate to make decisions. When a group of agents faces these problems, each agent may have a different preference about which criteria are more relevant. Hence, agents’ preference rules will be used to generate arguments that represent all the agents’ points of view. Our approach performs an argumentation-based analysis to entail the best alternatives and explains how it arrives at its conclusions. We provide various scenarios to show how our proposal behaves in different situations. We formally show some results about how our current proposal behaves in dynamic environments regarding the computation of the solution of the problem.

Source: ACM Journal on Autonomous Transportation Systems

DOI: 10.1145/3696463

Authors: Matías Emiliano Gandolfo, Martín Buron Brarda, Luciano Hector Tamargo, Alejandro Javier Garcia

Institutions: Universidad Nacional del Sur, Consejo Nacional de Investigaciones Científicas y Técnicas

Language: English

Topic: Multi-Agent Systems and Negotiation

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Consejo Nacional de Investigaciones Científicas y Técnicas

OpenAlex ID: W4402646064

FWCI:

Cites: 14

Cited by:

Related to: 10