Special Issue on AI Agents

Multiagent and Grid Systems - An International Journal (SAGE Publications)

Artificial Intelligence (AI) is undergoing a transformative shift from standalone predictive models toward autonomous, goal-driven AI agents capable of perception, reasoning, planning, learning, and action. Recent advances in large language models (LLMs), foundation models, generative AI, and agentic architectures have accelerated the development of intelligent agents that can collaborate, negotiate, coordinate, and adapt in dynamic environments.

Multi-agent systems (MAS) are emerging as a critical paradigm for enabling distributed intelligence, collective problem-solving, and scalable autonomous decision-making across domains such as smart cities, healthcare, manufacturing, cyber-physical systems, digital twins, autonomous transportation, finance, energy systems, and scientific discovery. The convergence of AI agents, agentic workflows, edge-cloud infrastructures, and grid/distributed computing is creating unprecedented opportunities and challenges for the design, deployment, governance, security, and evaluation of intelligent autonomous systems.

This special issue aims to present the latest theoretical advances, methodologies, frameworks, architectures, tools, and applications related to AI agents and multi-agent systems.

Topics of Interest

Original and high-quality contributions are solicited on topics including, but not limited to:

Foundations of AI Agents
- Agent architectures and cognitive models
- Autonomous reasoning, planning, and decision-making
- Agent memory, reflection, and self-improvement
- Goal-driven and task-oriented AI agents
- Agent adaptation, learning, and personalization
- Explainable and trustworthy AI agents

Multi-Agent Systems and Coordination
- Cooperative and competitive multi-agent systems
- Collective intelligence and swarm intelligence
- Distributed problem solving and consensus mechanisms
- Multi-agent reinforcement learning
- Agent communication protocols and coordination strategies
- Negotiation, collaboration, and conflict resolution

LLM-Based and Generative AI Agents
- Large language model agents
- Agentic workflows and orchestration frameworks
- Tool-using and retrieval-augmented agents
- Multi-agent conversational systems
- Generative AI for agent reasoning and planning
- Human-agent and agent-agent interaction

Submission Information

Submissions are open now and will be handled on a continuous basis. The Journal's standard peer-review process and revision procedures will be applied to all submissions. Manuscripts for the special issue will receive expedited handling.

Authors should prepare manuscripts according to the Journal's submission guidelines and submit their papers through the Journal's online submission system.

Author Guidelines https://journals.sagepub.com/author-instructions/MGS

When submitting a manuscript, authors should clearly indicate in their cover letter that the paper is intended for the Special Issue on AI Agents.

All queries regarding this Special Issue should be directed to the Editor-in-Chief of Multiagent and Grid Systems - An International Journal.