International Journal of Swarm Intelligence and Evolutionary Computation

International Journal of Swarm Intelligence and Evolutionary Computation
Open Access

ISSN: 2090-4908

+1-947-333-4405

Owa K

Owa K

United Kingdom

Publications
  • Theory
    Spatio-Temporal Patterns Act as Computational Mechanisms Governing Emergent Behavior in Robotic Swarms
    Author(s): Terry Jack MDA, Khuman SA and Owa KTerry 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.. Read More»

    Abstract PDF

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