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Product details:
- Publisher Bloomsbury Academic
- Date of Publication 18 April 2019
- Number of Volumes Paperback
- ISBN 9781350096783
- Binding Paperback
- No. of pages216 pages
- Size 216x138 mm
- Weight 278 g
- Language English 4
Categories
Long description:
In this groundbreaking book, Manuel DeLanda analyzes different genres of simulation, from cellular automata and generic algorithms to neural nets and multi-agent systems, as a means to conceptualize the space of possibilities associated with casual and other capacities.
This remarkably clear philosophical discussion of a rapidly growing field, from a thinker at the forefront of research at the interface of science and the humanities, is a must-read for anyone interested in the philosophies of technology, emergence and science at all levels.
Table of Contents:
Introduction: Emergence in History
1. The Storm in the Computer
2. Cellular Automata and Patterns of Flow
3. Artificial Chemistries and the Prebiotic Soup
4. Genetic Algorithms and the Prebiotic Soup
5. Genetic Algorithms and Ancient Organisms
6. Neural Nets and Insect Intelligence
7. Neural Nets and Mammalian Memory
8. Multiagents and Primate Strategies
9. Multiagents and Stone Age Economics
10. Multiagents and Primitive Language
11. Multiagents and Archaic States
Appendix: Links to Assemblage Theory
Index