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From Pattern Formation to Material Computation - Multi-agent Modelling of Physarum Polycephalum (Paperback, Softcover reprint of the original 1st ed. 2015)
Loot Price: R5,050
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From Pattern Formation to Material Computation - Multi-agent Modelling of Physarum Polycephalum (Paperback, Softcover reprint of the original 1st ed. 2015)
Series: Emergence, Complexity and Computation, 15
Expected to ship within 10 - 15 working days
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This book addresses topics of mobile multi-agent systems, pattern
formation, biological modelling, artificial life, unconventional
computation, and robotics. The behaviour of a simple organism which
is capable of remarkable biological and computational feats that
seem to transcend its simple component parts is examined and
modelled. In this book the following question is asked: How can
something as simple as Physarum polycephalum - a giant amoeboid
single-celled organism which does not possess any neural tissue,
fixed skeleton or organised musculature - can approximate complex
computational behaviour during its foraging, growth and adaptation
of its amorphous body plan, and with such limited resources? To
answer this question the same apparent limitations as faced by the
organism are applied: using only simple components with local
interactions. A synthesis approach is adopted and a mobile
multi-agent system with very simple individual behaviours is
employed. It is shown their interactions yield emergent behaviour
showing complex self-organised pattern formation with material-like
evolution. The presented model reproduces the biological behaviour
of Physarum; the formation, growth and minimisation of transport
networks. In its conclusion the book moves beyond Physarum and
provides results of scoping experiments approximating other complex
systems using the multi-agent approach. The results of this book
demonstrate the power and range of harnessing emergent phenomena
arising in simple multi-agent systems for biological modelling,
computation and soft-robotics applications. It methodically
describes the necessary components and their interactions, showing
how deceptively simple components can create powerful mechanisms,
aided by abundant illustrations, supplementary recordings and
interactive models. It will be of interest to those in biological
sciences, physics, computer science and robotics who wish to
understand how simple components can result in complex and useful
behaviours and who wish explore the potential of guided pattern
formation themselves.
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