Brave mobots use representation: Emergence of representation in fight-or-flight learning
Minds and Machines 7 (4):475-494 (1997)
| Abstract | The paper uses ideas from Machine Learning, Artificial Intelligence and Genetic Algorithms to provide a model of the development of a fight-or-flight response in a simulated agent. The modelled development process involves (simulated) processes of evolution, learning and representation development. The main value of the model is that it provides an illustration of how simple learning processes may lead to the formation of structures which can be given a representational interpretation. It also shows how these may form the infrastructure for closely-coupled agent/environment interaction | |||||||||
| Keywords | Artificial Intelligence Emergence Learning Representation Science | |||||||||
| Categories | ||||||||||
| Options |
|
|||||||||
| PhilPapers Archive |
Upload a copy of this paper Check publisher's policy on self-archival Papers currently archived: 5,653 |
| External links |
|
| Through your library | Configure |
Mark H. Bickhard (1993). Representational Content in Humans and Machines. Journal of Experimental and Theoretical Artificial Intelligence 5:285-33.
Nancy J. Nersessian (1989). Conceptual Change in Science and in Science Education. Synthese 80 (1):163 - 183.
Mark H. Bickhard (2004). Process and Emergence: Normative Function and Representation. Axiomathes - An International Journal in Ontology and Cognitive Systems 14:135-169.
Susan Hanson & D. Burr (1990). What Connectionist Models Learn. Behavioral and Brain Sciences.
Mark H. Bickhard (2009). The Interactivist Model. Synthese 166 (3):547 - 591.
Monthly downloads |
Added to index2009-01-28Total downloads24 ( #51,551 of 548,985 )Recent downloads (6 months)18 ( #3,227 of 548,985 )How can I increase my downloads? |

