Date and Time
Monday November 16, 2009, 14:00-15:30, Room Q405
Abstract
Swarm Intelligence (SI) is becoming an ever more popular research field. Its origin comes from Nature-Inspired Computing. However, the SI community can be categorised into two major groups. The first group is the optimization group. This group often treats SI algorithms as Evolutionary Computation algorithms with centralised evolutionary and selection mechanisms. The second group treats SI as a social analogy where distributed parallel computation plays a role supported by localized controllers, i.e. swarm robots.
Applications of SI are what bring these two groups together especially engineering applications. As we mentioned, Optimization is one of the important areas where SI provides dynamic algorithms that is better suited to environments such as ad hoc networks. The second area is in managing collaborative agents or robots especially when resources are limited, e.g. energy and processing. Similarly SI algorithms are used in simulations. Ecological simulations used to the prime area, nowadays crowd and social simulation is becoming most active areas of SI-based simulations.
In this talk we will journey through the different types of SI algorithms (e.g. flocking, PSO, and ACO) and different applications based on some of the completed and current projects Dr. Ayesh has been supervising. The focus will be on Ad Hoc Networks and Mobile Sensors extending to management and security of distributed information collection and fusion. As we come to the end of the talk we will see how SI can be true and beyond realisation of some cognitive systems promises and proposals, e.g. Minsky’s society of mind. Sensor networks, information fusion, emotions, knowledge and response can all come together in an SI-managed framework.
About Aladdin Ayesh
Dr. Aladdin Ayesh is the head of Intelligent Mobile Robots and Creative Computing (IMRCC) research group at De Montfort University, UK. He has been lecturing on wide range of topics in the areas of intelligent robotics, multi-agent systems, and multimedia related subjects (e.g. games and entertainment computing). He is also a software architect and consultant.
Dr Ayesh's prime research area of interest is artificial intelligence, in particular knowledge representation and reasoning in cognitive systems. His current research focuses on emotions modeling and social swarms, computational cognition, natural languages, logical models for information retrieval, and reasoning about knowledge and behavior.
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