Dokumentdetails
ID
oai:arXiv.org:2409.01469
Thema
Computer Science - Neural and Evol... Nonlinear Sciences - Adaptation an... Nonlinear Sciences - Pattern Forma... Quantitative Biology - Populations...Autor
Sayama, HirokiKategorie
Computer Science
Jahr
2024
Auflistungsdatum
05.02.2025
Schlüsselwörter
platform science systems swarmZusammenfassung
Artificial swarm systems have been extensively studied and used in computer science, robotics, engineering and other technological fields, primarily as a platform for implementing robust distributed systems to achieve pre-defined objectives.
However, such swarm systems, especially heterogeneous ones, can also be utilized as an ideal platform for creating *open-ended evolutionary dynamics* that do not converge toward pre-defined goals but keep exploring diverse possibilities and generating novel outputs indefinitely.
In this article, we review Swarm Chemistry and its variants as concrete sample cases to illustrate beneficial characteristics of heterogeneous swarm systems, including the cardinality leap of design spaces, multiscale structures/behaviors and their diversity, and robust self-organization, self-repair and ecological interactions of emergent patterns, all of which serve as the driving forces for open-ended evolutionary processes.
Applications to science, engineering, and art/entertainment as well as the directions of further research are also discussed.
;Comment: 18 pages, 5 figures, accepted for publication in Philosophical Transactions of the Royal Society A
Sayama, Hiroki, 2024, Swarm Systems as a Platform for Open-Ended Evolutionary Dynamics
Projection-Specific Heterogeneity of the Axon Initial Segment of Pyramidal Neurons in the Prelimbic Cortex
heterogeneity projection-specific
