EUMAS 2024

EUMAS 2024 welcomes original, unpublished papers including improved versions of extended abstracts or rejected papers from AAMAS, AAAI and IJCAI 2023. The submission should describe work that has not been previously published, accepted for publication, nor is currently under review by another conference or journal.

All submissions will be peer-reviewed in a single blind fashion. Submission length depends upon the track that you submit to. Additional pages may be used for references and, if needed, a clearly marked appendix. It should be formatted according to Springer’s LNCS format. For templates and instructions for authors, see Conference proceedings guidelines . Authors must submit their papers through the EUMAS 2024 Easychair submission site as a single PDF file.

This year, EUMAS is accepting submissions across 4 tracks:

• Main Track (15 pages + references)

  Topics of interest include, but are not limited to: Action and Planning, Adaptation and Learning; Agent Architectures; Agent Programming Languages; Agent Development Methodologies and Tools; Agent-Based Simulations and Modeling; Agent Organizations and Institutions; Agent-oriented Software Engineering; Agents and Complex Systems; Applications of Multi-agent Systems; Argumentation; Automated negotiation; Biologically inspired approaches; Cognitive Models; Collective and Swarm Intelligence; Collective Intentionality; Communication, Cooperation, and Coordination; Computational Social Choice; Deep Reinforcement Learning in Multi-Agent Domains; Economic Models; Electronic Commerce; Ethical behavior of multi-agent systems; Formal Modelling; Game-Theoretic Methods; Human-Agent Interaction; Logics for Multi-Agent Systems; Logics for Strategic Reasoning; Machine Learning for Multi-Agent Systems; Multi-Agent Learning; Multi-Robot Systems; Negotiation; Self-organization; Semantic Web Agents; Social Networks; Socio-technical Systems; Theories of Agency; Trust and Reputation; Verification; Virtual Agents; Voting and Judgment Aggregation Models for Multi-Agent Systems

• Agents and Ethics (15 pages + references)

  This track is focussed on the implementation of ethical reasoning mechanisms in various autonomous decision-making settings. Depending on the context of the agent (software / hardware), the kinds of values (or value-conflicts) that are encountered could be quite varied. The multiplicity and agency of the stakeholders involved (from highly trained human-machine teams to a cohort of elderly / children), also affect the possible value considerations deeply. This track aims to provide a venue for discussions of problems, possible solution-concepts, best practices, benchmarks, related to machine ethics.

  Submissions are solicited on, but not limited to, the following themes / questions:

  • What kinds of values and value-conflicts are (in)expressible in algorithmic form?
  • Can ethical behaviour be guaranteed or verified in computational media?
  • Implementation of ethical reasoning mechanisms founded on non-western ethical traditions
  • Can artificial moral decision-making be decoupled from mere implementation of normative ethical theories?
  • Privacy and Trust relationships between humans and machines in the presence of hybrid actions
  • Implementation of ethical reasoning in logic-based methods
  • Representation of ethical principles in AI agents
  • Machine-learning based approaches to ethical reasoning
  • Development of machine ethics in cognitive robot programs
  • Robot learning for ethical reasoning
  • Integration of symbolic and neural information systems for ethical reasoning
  • Development of formal frameworks for ethical decision-making
  • Techniques for explaining the ethical reasoning of AI agents
  • Frameworks for ethical collaboration between humans and AI agents
  • Building trust in intelligent systems through ethical design and interaction

• Agent Toolkits

  This track aims to provide a forum for researchers that are involved in developing agent/MAS toolkits and platforms, or that are using them for the development of applications, to exchange ideas, make proposals, suggest challenges, reports interesting use cases and so on - any aspect that could be of interest in the engineering and using Agent Toolkits.

• Demonstrators (5 pages + references)

  This track aims to provide opportunities for participants from academia and industry to present their latest developments in agent-based systems. Demonstrations of interest include both applications of multi-agent systems and tools that support developers in the specification, design, implementation and testing of agent systems.

T.B.C.