Due to many requests, paper submission deadline has been extended to 8th Oct 2021!
Date Dec 13-15, 2021. Venue : online.
Scope and Background:
Intelligent agents are software entities which can carry out some actions on behalf of clients with some degree of autonomy. Through sensing the status of environment, and by performing operations based on the knowledge they possess, agents change or influence the environment towards their goals. A group or a society of agents form a Multi-Agent System (MAS) in which they interact cooperatively and/or competitively for their individual or common goals. In general, agents possess five common properties which are: autonomy (some level of self-control); adaptivity (the ability to learn and improve performance with experience); reactivity (the ability to perceive the environment and to respond in a timely fashion to changes that occur); proactivity (the ability not only to act simply in response to their environment but also to exhibit goal-directed behaviour by taking the initiative); and sociability (the ability to interact, communicate and work with other agents). Research on agent techniques and MASs mainly focus on improving existing - or inventing innovative - frameworks, models, mechanisms, approaches and algorithms, in order to improve agents’ effectiveness and efficiency in those five aspects for advanced autonomous problem solving abilities in complex environments.
Topics:
We envision a future society where computational agents and humans (physical agents) live, work and snuggle together in harmony. This harmonious collaboration is of paramount importance in the next-generation society. IEEE ICA2021 will call for papers related to, but not limited to, the following topics:
Decision making techniques
Multi-agent communication and interaction protocols
Negotiation and argumentation
Game theory, auctions, and markets
Social computing
Cooperation, collaboration and coordination mechanisms
Self-organization and self-adaptation
Multiagent Computational reasoning
Multiagent Machine learning
Complex systems and system dynamics
Collective intelligence
Agent-Oriented Programming languages and Software Engineering
Human and multi-agent systems interaction
Human Agents / Robots Interaction