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eBook Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents) ePub

eBook Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents) ePub

by Ronald C. Arkin,Dario Floreano

  • ISBN: 0262062712
  • Category: Computer Science
  • Subcategory: Computers
  • Author: Ronald C. Arkin,Dario Floreano
  • Language: English
  • Publisher: The MIT Press (August 22, 2008)
  • Pages: 659
  • ePub book: 1634 kb
  • Fb2 book: 1443 kb
  • Other: doc rtf txt rtf
  • Rating: 4.9
  • Votes: 575

Description

Bio-Inspired Artificial Intelligence brings together all the things I've been interested in for the last 25 years, and surprises me by providing a coherent intellectual framework for them all. This book is a treasure trove of history from Darwin to Gibson and Walter, an unambiguous tutorial on ho. .

Bio-Inspired Artificial Intelligence balances delivering conceptual detail with real world integrated examples to aid in deep and successful comprehension of the topics. The text answers questions, informs and prompts one ask broader questions

Bio-Inspired Artificial Intelligence balances delivering conceptual detail with real world integrated examples to aid in deep and successful comprehension of the topics. The text answers questions, informs and prompts one ask broader questions. Incredibly, it is actually very enjoyable to read; I think this may have to do with the good writing.

A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures

A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization.

Most results from this community have software embodiments as opposed to their robotic counterparts. The series will concentrate on volumes that advance the theory, design, and practice of intelligent robots and autonomous agents.

Bio-Inspired Artificial Intelligence book.

Dario Floreano and others published Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies. One method allowing this is the combination of discrete event simulation, aggregated models, multi-objective optimization, and data-mining shown in this article.

One method allowing this is the combination of discrete event simulation, aggregated models, multi-objective optimization, and data-mining shown in this article.

New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning

New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reprod.

New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells . Kirjaluettelon tiedot. Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies Intelligent robotics and autonomous agents.

New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning.

Dario Floreano; Claudio Mattiussi Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies . A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures.

Dario Floreano; Claudio Mattiussi Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents series). ISBN 13: 9780262062718.

Floreano, . Mattiussi, . Bio-inspired artificial intelligence: theories, methods, and technologies. e. Intelligent Robotics and Autonomous Agents 2008, The MIT Press, Cambridge, Massachusetts. ISBN 978-0-262-06271-8 (2008)Google Scholar

Floreano, . ISBN 978-0-262-06271-8 (2008)Google Scholar. 24. Li, X-l: A new intelligent optimization method-artificial fish school algorithm (in Chinese with English abstract), in Institute of Systems Engineering. Zhejiang University, Hangzhou, . China (2003)Google Scholar. 25. Zhang, . et a. Evolving neural network classifiers and feature subset using artificial fish swarm.

A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures.

New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence―to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems―including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.

Comments

Kulalas Kulalas
Good reference
Kit Kit
Works well!
Risky Strong Dromedary Risky Strong Dromedary
As an A.I. developer myself, I have to admit this book is perfect. This book summarizes countless journal papers from biological to computer science journals. It gives you the research trend and how they missed something and what kind of A.I. you could develop for your own project.

If you want to develop something they completely missed, you need this book and read through entire chapters. This would be better than download and read hundred-hundred papers from IEEE or any journal publishers.
Azago Azago
I needed to purchase this for a college course, but I've read it probably three times since then.

This book is well written, fairly easy to understand, and very interesting. It's heavy on the robotics, especially in the second half.

If you have any interest in biology or computer science, I recommend at least leafing through this book.
Dagdardana Dagdardana
it is very good.fast and excellent
BlackBerry BlackBerry
THIS BOOK IS: a conceptual overview of many different algorithms (emphasis on the "conceptual"). It has lots of information on the biological inspiration that is interesting, albeit unnecessary in the field of Optimization and AI.

THIS BOOK IS NOT: a recipe of algorithms, complete with flow-charts, pseudocode, and "lessons-learned". If you're new to Optimization and AI, this book will certainly get you pointed in the right direction.

I gave this book book 3 stars because it's well researched, well organized, and well written, but I didn't find it all that useful.
Saithi Saithi
Good book upon arrival; timing is good.
Only the small part of the book, concerning connectionist architecture, covers the field of my interest. Any way, the book gives solid review state of the art of AI.