Why axiomatic models of being conscious?

Journal of Consciousness Studies 14 (7):15-27 (2007)
Abstract
This paper looks closely at previously enunciated axioms that specifically include phenomenology as the sense of a self in a perceptual world. This, we suggest, is an appropriate way of doing science on a first-person phenomenon. The axioms break consciousness down into five key components: presence, imagination, attention, volition and emotions. The paper examines anew the mechanism of each and how they interact to give a single sensation. An abstract architecture, the Kernel Architecture, is introduced as a starting point for building computational models. The thrust of the paper is to relate the axioms to the kernel architecture and indicate that this opens a way of discussing some first-person issues: tests for consciousness, animal consciousness and Higher Order Thought
Keywords No keywords specified (fix it)
Categories (categorize this paper)
Options
 Save to my reading list
Follow the author(s)
Edit this record
My bibliography
Export citation
Find it on Scholar
Mark as duplicate
Request removal from index
Revision history
Download options
Our Archive


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 29,495
External links

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.

Add more references

Citations of this work BETA
Progress in Machine Consciousness.D. Gamez - 2008 - Consciousness and Cognition 17 (3):887-910.
Emotional Cognitive Steps Towards Consciousness.Will N. Browne & Richard J. Hussey - 2009 - International Journal of Machine Consciousness 1 (2):203-211.

Add more citations

Similar books and articles
Added to PP index
2009-01-28

Total downloads
67 ( #83,208 of 2,210,569 )

Recent downloads (6 months)
2 ( #207,666 of 2,210,569 )

How can I increase my downloads?

Monthly downloads
My notes
Sign in to use this feature