Abstract
Conventional mechanical systems composed of various modules and parts are often inherently inadequate for dealing with unforeseeable changing situations. Taking advantage of the flexibility of multi-agent systems, a cellular self-organizing (CSO) systems approach has been proposed, in which mechanical cells or agents self-organize themselves as the environment and tasks change based on a set of rules. To enable CSO systems to deal with more realistic tasks, a two-field mechanism is introduced to describe task and agents complexities and to investigate how social rules among agents can influence CSO system performance with increasing task complexity. The simulation results of case studies based on the proposed mechanism provide insights into task-driven dynamic structures and their effect on the behavior, and consequently the function, of CSO systems.
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Khani, N., Jin, Y. (2015). Dynamic Structuring in Cellular Self-Organizing Systems. In: Gero, J., Hanna, S. (eds) Design Computing and Cognition '14. Springer, Cham. https://doi.org/10.1007/978-3-319-14956-1_1
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DOI: https://doi.org/10.1007/978-3-319-14956-1_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14955-4
Online ISBN: 978-3-319-14956-1
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