Decision Modeling in Markovian Multi-Agent Systems
Paper i proceeding, 2022

In this paper, we model a decision-making process involving a set of interacting agents. We use Markovian opinion dynamics, where each agent switches between decisions according to a continuous time Markov chain. Existing opinion dynamics models are extended by introducing attractive and repulsive forces that act within and between groups of agents, respectively. Such an extension enables the resemblance of behaviours emerging in networks where agents make decisions that depend both on their own preferences and the decisions of specific groups of surrounding agents. The considered modeling problem and the contributions in this paper are inspired by the interaction among road users (RUs) at traffic junctions, where each RU has to decide whether to go or to yield.

Multi-agent systems

opinion dynamics

Författare

Carl-Johan Heiker

Chalmers, Elektroteknik, System- och reglerteknik

Paolo Falcone

Universita Degli Studi Di Modena E Reggio Emilia

Chalmers, Elektroteknik, System- och reglerteknik

Proceedings of the IEEE Conference on Decision and Control

07431546 (ISSN) 25762370 (eISSN)

Vol. 2022-December 7235-7240
978-1-6654-6761-2 (ISBN)

61st IEEE Conference on Decision and Control (CDC)
Cancún, Mexico,

5G för Uppkopplade Autonoma Fordon i Komplexa Stadsmiljöer

VINNOVA (2018-05005), 2019-04-01 -- 2023-03-31.

Styrkeområden

Informations- och kommunikationsteknik

Transport

Ämneskategorier

Elektroteknik och elektronik

DOI

10.1109/CDC51059.2022.9993134

ISBN

9781665467612

Mer information

Senast uppdaterat

2024-07-17