The horizons of evolutionary robotics
Evolutionary robotics (ER) aims to apply evolutionary computation techniques to the design of both real and simulated autonomous robots. The Horizons of Evolutionary Robotics offers an authoritative overview of this rapidly developing field, presenting state-of-the-art research by leading scholars....
| Main Author: | |
|---|---|
| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge, Massachusetts
The MIT Press
2014
|
| Series: | Intelligent robotics and autonomous agents
|
| Subjects: | |
| Online Access: | |
| Collection: | MIT Press eBook Archive - Collection details see MPG.ReNa |
| LEADER | 02624nmm a2200313 u 4500 | ||
|---|---|---|---|
| 001 | EB002071185 | ||
| 003 | EBX01000000000000001211275 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr||||||||||||||||||||| | ||
| 008 | 220922 ||| eng | ||
| 020 | |a 0262322242 | ||
| 020 | |a 9780262322249 | ||
| 050 | 4 | |a TJ211.37 | |
| 100 | 1 | |a Vargas, Patricia A. | |
| 245 | 0 | 0 | |a The horizons of evolutionary robotics |h Elektronische Ressource |c edited by Patricia A. Vargas, Ezequiel A. Di Paolo, Inman Harvey, and Phil Husbands |
| 260 | |a Cambridge, Massachusetts |b The MIT Press |c 2014 | ||
| 300 | |a x, 302 pages |b illustrations | ||
| 653 | |a COMPUTER SCIENCE/Robotics & Agents | ||
| 653 | |a Evolutionary robotics | ||
| 700 | 1 | |a Di Paolo, Ezequiel A. | |
| 700 | 1 | |a Harvey, Inman | |
| 700 | 1 | |a Husbands, Phil | |
| 041 | 0 | 7 | |a eng |2 ISO 639-2 |
| 989 | |b MITArchiv |a MIT Press eBook Archive | ||
| 490 | 0 | |a Intelligent robotics and autonomous agents | |
| 028 | 5 | 0 | |a 10.7551/mitpress/8493.001.0001 |
| 856 | 4 | 0 | |u https://doi.org/10.7551/mitpress/8493.001.0001?locatt=mode:legacy |x Verlag |3 Volltext |
| 082 | 0 | |a 629.8/92 | |
| 520 | |a Evolutionary robotics (ER) aims to apply evolutionary computation techniques to the design of both real and simulated autonomous robots. The Horizons of Evolutionary Robotics offers an authoritative overview of this rapidly developing field, presenting state-of-the-art research by leading scholars. The result is a lively, expansive survey that will be of interest to computer scientists, robotics engineers, neuroscientists, and philosophers. The contributors discuss incorporating principles from neuroscience into ER; dynamical analysis of evolved agents; constructing appropriate evolutionary pathways; spatial cognition; the coevolution of robot brains and bodies; group behavior; the evolution of communication; translating evolved behavior into design principles; the development of an evolutionary robotics--based methodology for shedding light on neural processes; an incremental approach to complex tasks; and the notion of "mindless intelligence"--Complex processes from immune systems to social networks -- as a way forward for artificial intelligence. ContributorsChristos Ampatzis, Randall D. Beer, Josh Bongard, Joachim de Greeff, Ezequiel A. Di Paolo, Marco Dorigo, Dario Floreano, Inman Harvey, Sabine Hauert, Phil Husbands, Laurent Keller, Michail Maniadakis, Orazio Miglino, Sara Mitri, Renan Moioli, Stefano Nolfi, Michael O'Shea, Rainer W. Paine, Andy Philippides, Jordan B. Pollack, Michela Ponticorvo, Yoon-Sik Shim, Jun Tani, Vito Trianni, Elio Tuci, Patricia A. Vargas, Eric D. Vaughan | ||