Autonomous Agents and Multi-Agent Systems

  in Journal   Posted on September 23, 2020

Journal Ranking & Metrics

G2R Score : 3.46
G2R H-Index : 9
JCR Impact Factor : 1.342
Scopus Citescore : 4.8
SCIMAGO SJR : 0.6
SCIMAGO H-index : 67
Guide2Research Overall Ranking : 293

Journal Information

ISSN : 1387-2532
Publisher :
Periodicity : Bimonthly
Editors-in-Chief : Michael Luck, Kate Larson
Journal & Submission Website : https://www.springer.com/journal/10458

Top Scientists who published in this Journal

Number of top scientists* : 23
Documents published by top scientists* : 25
* Based on data published during the last three years.

Aims & Scope of the Journal

The journal provides a leading forum for disseminating significant original research results in the foundations, theory, development, analysis, and applications of autonomous agents and multi-agent systems. Specific topics of interest include, but are not restricted to:Agent decision-making architectures and their evaluation, including deliberative, practical reasoning, reactive/behavioural, plan-based, and hybrid architectures.Cooperation and teamwork, including organizational structuring and design for multi-agent systems, self-organization, emergent functionality and swarm intelligence. Multi-agent planning and planning for multi-agent systems, and the coordination of multi-agent plans and activities. Computational auction systems, computational market systems, algorithmic/automated mechanism design, automated negotiation, computational aspects of game theory (cooperative and non-cooperative), and computational social choice theory. Knowledge representation and reasoning for, and logical foundations of, autonomous agents and multi-agent systems. Agent programming languages – their implementation, semantics, and evaluation.Distributed constraint processing and distributed constraint optimization. Multi-agent argumentation and dialogue, conflict detection and resolution. Multi-agent learning, co-learning, and evolutionary approaches in multi-agent systems. Learning agents, including: computational architectures for learning agents; evolution, adaptation; multi-agent learning. Agent communication languages, their semantics, pragmatics, and implementation, and agent communication protocols and conversations. Conventions, commitments, norms, obligations, and social laws in multi-agent systems, and models of trust and reputation. Believable and synthetic agents and characters, and…

Special Issues on this journal

1.342

JAAMAS on Fair Division

Autonomous Agents and Multi-Agent Systems
Mon 01 Mar 2021
1.342

Multi-Objective Decision Making (MODeM)

Autonomous Agents and Multi-Agent Systems
Fri 01 Oct 2021