Explaining the fundamentals of research fields that lead to the advancement of product development and simulation, along with their relevance to AI.
This document explains "artificial life," which aims to construct evolutionary biology as a verifiable science through simulations and other methods, expanding upon the general concept of "biology." Chapter 1 discusses the characteristics and properties of artificial life, including "emergence," and differentiates it from biology. From Chapter 2, it introduces "evolutionary methods" aimed at generating beneficial structures, "metaheuristics" applied to artificial life, examples of swarm behavior analysis, as well as more complex simulation methods and their connections to artificial intelligence. [Contents] 1. What is artificial life? 2. Evolution and creativity 3. Metaheuristics and ants 4. Swarm intelligence and schools of fish/birds 5. Simulation of complex systems 6. Creating life *The document can be viewed immediately by downloading the catalog.
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【Table of Contents (Excerpt)】 ■ What is Emergence? ■ Alife and Blife ■ What is Evolutionary Approach? ■ Evolving Programs ■ Emergence of Creativity ■ What are Metaheuristics? ■ Wisdom of Ants ■ ACO and the Traveling Salesman Problem ■ Why do Birds and Fish Flock? ■ PSO and Optimal Value Search ■ Turing Model and Ecology ■ Traffic Theory and Silicon Traffic ■ Challenges of Synthetic Biology ■ Intersection of Artificial Life and Artificial Intelligence
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