Explaining the fundamentals of research areas 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, extending the general concept of "biology." Chapter 1 discusses one of the characteristics of artificial life, "emergence," and its distinction from biology. From Chapter 2 onward, it introduces "evolutionary methods" aimed at generating beneficial structures, "metaheuristics" applied to artificial life, examples of swarm behavior analysis, more complex simulation methods, and connections with 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? ■Ant Wisdom ■ACO and the Traveling Salesman Problem ■Why Do Birds and Fish School? ■PSO and Optimal Value Search ■Turing Model and Ecology ■Traffic Theory and Silicon Traffic ■Challenges in Synthetic Biology ■Intersection of Artificial Life and Artificial Intelligence
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