IEEE CIS Task Force "Intelligent Agents"
Short profile
The role of Agents in the Computational Intelligence (CI) is changing by reflecting the newest recent global trends: simulations (ranging from the military training environments, historical simulations, educational simulations, to medical simulations), social web, emotional intelligence, surveillance systems, in strictly real-world applications.
An intelligent agent (IA) is an autonomous entity which in the broadest sense, is able to perceive the environment and achieves its goals. Whatever the environment is, the agents embeds CI capabilities, necessary for achieving three main typical tasks: reasoning, learning, generating new knowledge, using it to make a decision.
Recently, there has been a growing awareness that Computational Intelligence provides the ingredients to make agent "intelligent". Computational Intelligence does not wish to be alternative to the consolidated agent methodology but it wants to provide a synthesis of methods and technologies to empower the agent modeling in terms of reasoning capabilities, awareness, proactiveness, decision-making.
TFIA mission is to promote the development of the high-level cognitive capability of the agents, aimed at achieving a wider awareness in the interaction with agents and complex, dynamic environments, from a semantic, theoretical, methodological and technical perspective.
Planned Technical Committee Activities
- Organize a flexible TF organization.
- Plan and execute TF policy.
- Organize special paper session(s) in IEEE CIS conferences.
- Collaborate with other professional societies to promote computational intelligence based agent research and development.
- Special Issue on Computational Intelligence Agents to prepare in high-quality journal or dedicated books.