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2017 IEEE Symposium on Computational Intelligence on Intelligent Agents (IA 2017)

It is our pleasure to invite you to participate in the 2017 IEEE International Symposium on Intelligent Agents (IA 2017).

The intersection between Computational Intelligence and Agent technology opens new significant opportunities in many fields where the representation and management of complex systems play a fundamental role. In the formulation of Agent-based systems, the role of uncertainty is crucial for an efficient and coherent resolution of complex problems. Agents overcome classical programs thanks to their inner capabilities to be autonomous and to adapt their behaviour with the changing of the environment where agents live and interact. This means that inevitably they meet uncertainty during their work, or in many cases, for the high complexity of the problem, the information they handle is (or needs to be) approximate.

IA 2017 will aim to provide a leading international forum to bring together researchers and practitioners from diverse fields, such as computer science, information technology, business, education, human factors, systems engineering, and robotics. The symposium will aim to examine the design principles and performance characteristics of various approaches in intelligent agent technology. In addition, the symposium will aim to increase the cross-fertilization of ideas on the development of autonomous agents and multi-agent systems among different domains. By encouraging idea-sharing and discussions on the underlying logical, cognitive, physical, and sociological foundations as well as the enabling technologies of intelligent agents, IA 2017 will foster the development of novel paradigms and advanced solutions in agent-based computing.

Topics

The symposium will bring together researchers from both industry and academia from the various disciplines contributing to the area on intelligent agents. Such disciplines include, but are not limited to:

Accepted Special Sessions

(To be announced)

Symposium Co-Chairs

Hani Hagras
University of Essex, UK. Email: hani@essex.ac.uk
Vincenzo Loia
University of Salerno, Italy.Email: loia@unisa.it

Program Committee

(To be announced)