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Unshackling evolution:evolving soft robots with multiple materials and a powerful generative encoding
| Content Provider | ACM Digital Library |
|---|---|
| Author | Clune, Jeff Cheney, Nick MacCurdy, Robert Lipson, Hod |
| Abstract | In 1994, Karl Sims' evolved virtual creatures showed the potential of evolutionary algorithms to produce natural, complex morphologies and behaviors [30]. One might assume that nearly 20 years of improvements in computational speed and evolutionary algorithms would produce far more impressive organisms, yet the creatures evolved in the field of artificial life today are not obviously more complex, natural, or intelligent. Fig. 2 demonstrates an example of similar complexity in robots evolved 17 years apart. |
| Starting Page | 11 |
| Ending Page | 23 |
| Page Count | 13 |
| File Format | |
| ISSN | 19318499 |
| DOI | 10.1145/2661735.2661737 |
| Journal | ACM SIGEVOlution (SEVO) |
| Volume Number | 7 |
| Issue Number | 1 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-02-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Content Type | Text |
| Resource Type | Article |