(The journal is free!)

The test itself is not easy or cheap - but it is possible AND you can 
perform it on humans as well as AI. To deny that the test is valid 
involves a denial that scientists have P-consciousness, whilst being 
totally demanding of it and dependent on it for all science outcomes.

Hales, C. (2009), 'An empirical framework for objective testing for 
P-consciousness in an artificial agent', The Open Artificial 
Intelligence Journal, 3, pp. 1-15.

http://www.bentham.org/open/toaij/

*Abstract:* Two related and relatively obscure issues in science have 
eluded empirical tractability. Both can be directly traced to progress 
in artificial intelligence. The first is scientific proof of 
consciousness or otherwise in anything. The second is the role of 
consciousness in intelligent behaviour. This document approaches both 
issues by exploring the idea of using scientific behaviour 
self-referentially as a benchmark in an objective test for 
P-consciousness, which is the relevant
critical aspect of consciousness. Scientific behaviour is unique in 
being both highly formalised and provably critically dependent on the 
P-consciousness of the primary senses. In the context of the primary 
senses P-consciousness is literally a formal identity with scientific 
observation. As such it is intrinsically afforded a status of critical 
dependency demonstrably no different to any other critical dependency in 
science, making scientific behaviour ideally suited to a 
self-referential scientific circumstance. The 'provability' derives from 
the delivery by science of objectively verifiable 'laws of nature'. By 
exploiting the critical dependency, an empirical framework is 
constructed as a refined and specialised version of existing 
propositions for a 'test for consciousness'. The specific role of 
P-consciousness is clarified: it is a human intracranial central nervous 
system construct that symbolically grounds the scientist in the distal 
external world, resulting in our ability to recognise, characterise and 
adapt to distal natural world novelty. It is hoped that in opening a 
discussion of a novel approach, the artificial intelligence community 
may eventually find a viable contender for its long overdue scientific 
basis.

cheers
colin hales




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