Abstract
A recent paradigm shift in swarm intelligence research has changed requirements of bio-inspired algorithms so drastically. During these two decades, swarm intelligence researchers have gradually realized that they focused too much on homogeneity in design of the algorithms. Those algorithms were primarily inspired by direct observation of self-organizing systems of various animal swarms so that requirements of the algorithms were based on homogeneous functionality. Meanwhile, the advent of swarm robots has revealed that real-world electromechanical agent robots that are called swarm robots inevitably involve heterogeneity for fulfillment of multi-functional roles. The algorithms for actuating such multi-functional robots demand involvement of heterogeneity in algorithm design. This position paper briefly discusses how such paradigm shift changed the philosophy of algorithm design and describes requirements for such design in bio-inspired computing.
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Sasaki, H. (2023). Bio-inspired Heterogeneity in Swarm Robots. In: Abraham, A., Bajaj, A., Gandhi, N., Madureira, A.M., Kahraman, C. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2022. Lecture Notes in Networks and Systems, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-031-27499-2_13
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