March 2023
Intermediate to advanced
256 pages
6h 58m
English
Content preview from Swarm Intelligence
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2Foundation of Swarm Intelligence
Abstract
Swarm Intelligence (SI) is a pretty recent technology for the monitoring and administration of many interactive objects, such as telecommunications, computer and sensor networking, spacecraft constellations, and much more, in various research contexts. However, initiatives to use this framework and mimic the behavior of insect swarming often lead to numerous diverse SI applications. Due to its somewhat broad self-organized ideas, it is harder to precisely establish what SI is and completely appraise its capabilities. This chapter sets forth a set of basic concepts for SI R&D. A clear description of self-organized behavior is given instead of the traditionally popular ad hoc method to use SI terms. It offers the foundation for a much more fundamental, sensible solution to study and innovation. The Pareto optimization idea is used to grasp the concepts of effectiveness and adaptation. In a novel notion, Pareto template matching is considered, which involves symmetry links and invariance in scales in the context of changing system states that preserve Pareto correctness. The idea of the smooth deterioration of effectiveness so commonly sought in complicated systems is therefore described as a mathematics approach to express ethical trade-offs across distinct scales.
Keywords: Social behavior, optimization, simulation ant, machine intelligence, genetic algorithm, artificial life, chip, IQ test
2.1 Introduction
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