David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
It may be of interest to see what can be done by giving a robot no innate knowledge about its environment or its sensors or effectors and only a totally general learning mechanism, such as reinforcement learning, or some information-reduction algorithm, to see what it can learn in various environments. However, it is clear that that is not how biological evolution designs animals, as McCarthy states
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Murat Aydede & Guven Guzeldere (2000). Consciousness, Intentionality, and Intelligence: Some Foundational Issues for Artificial Intelligence. Journal of Experimental and Theoretical Artificial Intelligence 12 (3):263-277.
Susan Anderson & Michael Anderson (eds.) (2011). Machine Ethics. Cambridge University Press.
Tracy B. Henley (1990). Natural Problems and Artificial Intelligence. Behavior and Philosophy 18 (2):43-55.
Jose Hernandez-Orallo (2000). Beyond the Turing Test. Journal of Logic, Language and Information 9 (4):447-466.
A. Sloman & R. L. Chrisley, More Things Than Are Dreamt of in Your Biology: Information-Processing in Biologically Inspired Robots.
Drew McDermott (1981). Artificial Intelligence Meets Natural Stupidity. In J. Haugel (ed.), Mind Design. MIT Press 5-18.
Robert C. Richardson (1997). Natural and Artificial Complexity. Philosophy of Science 64 (4):267.
Gerard Casey (1988). Artificial Intelligence and Wittgenstein. Philosophical Studies 32:156-175.
Gary L. Drescher (1991). Made-Up Minds: A Constructivist Approach to Artificial Intelligence. Cambridge: MIT Press.
Christine Temple & Harald Clahsen (2002). How Connectionist Simulations Fail to Account for Developmental Disorders in Children. Behavioral and Brain Sciences 25 (6):769-770.
Nello Cristianini (1995). Evolution and Learning: An Epistemological Perspective. [REVIEW] Axiomathes 6 (3):429-437.
Marcin Miłkowski (2011). Evolutionist of Intelligence. Introduction. Avant: Trends in Interdisciplinary Studies 2 (2):29-33.
Added to index2010-12-22
Total downloads29 ( #130,250 of 1,790,148 )
Recent downloads (6 months)12 ( #68,903 of 1,790,148 )
How can I increase my downloads?