International Journal of Swarm Intelligence and Evolutionary Computation

De Montfort University, Leicester, UK

Biography

Dr Archie Khuman currently working as a Professor in senior academic-Insititute of Artificial Intelligence, De Montfort University, Leicester, UK. His areas of interest in research includes as in Artificial Intelligence; Computational Intelligence; Machine Learning, Fuzzy Logic; Grey Theory and Rough Sets. His areas of teaching includes in the field of Fuzzy Logic and Knowledge Based Systems, Artificial Intelligence and Simulation and in Applied Computational Modelling.

Publications

• Theory   
  Spatio-Temporal Patterns Act as Computational Mechanisms Governing Emergent Behavior in Robotic Swarms
  Author(s): Terry Jack MDA, Khuman SA and Owa K
  
  Our goal is to control a robotic swarm without removing its swarm-like nature. In other words, we aim to intrinsically control a robotic swarm emergent behavior. Past attempts at governing robotic swarms or their selfcoordinating emergent behavior, has proven ineffective, largely due to the swarm’s inherent randomness (making it difficult to predict) and utter simplicity (they lack a leader, any kind of centralized control, long-range communication, global knowledge, complex internal models and only operate on a couple of basic, reactive rules). The main problem is that emergent phenomena itself is not fully understood, despite being at the forefront of current research. Research into 1D and 2D Cellular Automata has uncovered a hidden computational layer which bridges the micromacro gap (i.e., how individual behaviors at the micro-level influence the global behaviors on the macr.. View more»
  

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