The relevance of human-android strategic interaction to artificial consciousness


Cowley, M. (2006) The relevance of human-android strategic interaction to artificial consciousness. , IEEE

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Description/Abstract

A classic problem for artificial intelligence is to build a machine that imitates human behavior well enough to convince those who are interacting with it that it is another human being [1]. One approach to this problem focuses on building machines that imitate internal psychological facets of human interaction, such as artificially intelligent agents that play grandmaster chess [2]. Another approach focuses on building machines that imitate external psycho-physical facets by building of androids [3]. The disparity between these approaches reflects a problem with both: Artificial intelligence abstracts mentality from embodiment, while android science abstracts embodiment from mentality. This problem needs to be solved, if a sentient artificial entity that is indistinguishable from a human being is to be constructed. One solution is to examine a fundamental human ability and context in which both the construction of internal cognitive models and an appropriate external social response are essential. This paper considers how the ability to reason with intent in the context of human vs. android strategic interaction offers not only a key psychological benchmark with which to evaluate the human likeness of android strategic responses, but a future theoretical context in which to bridge the gap between the construction of sentient internal and external artificial agents.

Item Type: Monograph (UNSPECIFIED)
Subjects: T Technology > T Technology (General)
H Social Sciences > H Social Sciences (General)
B Philosophy. Psychology. Religion > B Philosophy (General)
Divisions: University Structure - Pre August 2011 > School of Social Sciences > Sociology and Social Policy
Item ID: 39718
Date Deposited: 29 Jun 2006
Last Modified: 02 Mar 2012 13:30
Contributors: Cowley, M. (Author)
Date: 2006
Status: Published
Publisher: IEEE
URI: http://eprints.soton.ac.uk/id/eprint/39718

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