Sufficient neurocontrollers can be surprisingly simple:
Abstract: "Behaviors such as exploration and homing, that seemingly demand a complex control system, only require a perceptron that connects a robot's sensors to its motors. This is shown by evolving such neurocontrollers for the Khepera robot. An exploitation of the robot's perceptio...
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Edinburgh
1996
|
| Series: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
824 |
| Subjects: | |
| Summary: | Abstract: "Behaviors such as exploration and homing, that seemingly demand a complex control system, only require a perceptron that connects a robot's sensors to its motors. This is shown by evolving such neurocontrollers for the Khepera robot. An exploitation of the robot's perception of the environment's geometrical shape allows the robot to encode time, even though explicitly it is not present with the time and there are no recurrent connections in the neurocontroller. In a biological context, the robotics approach to show sufficient requirements for obtaining specific behaviors suggest that some biological experiments have to be re-done in order for the conclusions drawn from these biological experiments to be valid." |
| Physical Description: | 20 S. |
Staff View
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| 490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 824 | |
| 520 | 3 | |a Abstract: "Behaviors such as exploration and homing, that seemingly demand a complex control system, only require a perceptron that connects a robot's sensors to its motors. This is shown by evolving such neurocontrollers for the Khepera robot. An exploitation of the robot's perception of the environment's geometrical shape allows the robot to encode time, even though explicitly it is not present with the time and there are no recurrent connections in the neurocontroller. In a biological context, the robotics approach to show sufficient requirements for obtaining specific behaviors suggest that some biological experiments have to be re-done in order for the conclusions drawn from these biological experiments to be valid." | |
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Record in the Search Index
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| author_facet | Lund, Henrik Hautop Hallam, John |
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| id | DE-604.BV011050265 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T18:03:11Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007400651 |
| oclc_num | 37780832 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM |
| owner_facet | DE-91G DE-BY-TUM |
| physical | 20 S. |
| publishDate | 1996 |
| publishDateSearch | 1996 |
| publishDateSort | 1996 |
| record_format | marc |
| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Lund, Henrik Hautop Verfasser aut Sufficient neurocontrollers can be surprisingly simple Lund, H. H. ; Hallam, J. Edinburgh 1996 20 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 824 Abstract: "Behaviors such as exploration and homing, that seemingly demand a complex control system, only require a perceptron that connects a robot's sensors to its motors. This is shown by evolving such neurocontrollers for the Khepera robot. An exploitation of the robot's perception of the environment's geometrical shape allows the robot to encode time, even though explicitly it is not present with the time and there are no recurrent connections in the neurocontroller. In a biological context, the robotics approach to show sufficient requirements for obtaining specific behaviors suggest that some biological experiments have to be re-done in order for the conclusions drawn from these biological experiments to be valid." Bionics and artificial intelligence sigle Control systems and control theory sigle Robotics and its application sigle Evolutionary computation Perceptrons Robots Control systems Hallam, John Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 824 (DE-604)BV010450646 824 |
| spellingShingle | Lund, Henrik Hautop Hallam, John Sufficient neurocontrollers can be surprisingly simple Bionics and artificial intelligence sigle Control systems and control theory sigle Robotics and its application sigle Evolutionary computation Perceptrons Robots Control systems |
| title | Sufficient neurocontrollers can be surprisingly simple |
| title_auth | Sufficient neurocontrollers can be surprisingly simple |
| title_exact_search | Sufficient neurocontrollers can be surprisingly simple |
| title_full | Sufficient neurocontrollers can be surprisingly simple Lund, H. H. ; Hallam, J. |
| title_fullStr | Sufficient neurocontrollers can be surprisingly simple Lund, H. H. ; Hallam, J. |
| title_full_unstemmed | Sufficient neurocontrollers can be surprisingly simple Lund, H. H. ; Hallam, J. |
| title_short | Sufficient neurocontrollers can be surprisingly simple |
| title_sort | sufficient neurocontrollers can be surprisingly simple |
| topic | Bionics and artificial intelligence sigle Control systems and control theory sigle Robotics and its application sigle Evolutionary computation Perceptrons Robots Control systems |
| topic_facet | Bionics and artificial intelligence Control systems and control theory Robotics and its application Evolutionary computation Perceptrons Robots Control systems |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT lundhenrikhautop sufficientneurocontrollerscanbesurprisinglysimple AT hallamjohn sufficientneurocontrollerscanbesurprisinglysimple |