My most recent complete papers can usually be found somewhere near the top of the Cognition and Affect project paper index: http://www.cs.bham.ac.uk/research/cogaff/
I think that what I call qualia are the very things that first got philosophers referring to these internal, non-physical, components of our experience (though some referred to them as "sense data", "raw feels" etc.).
I argue that having and using an ontology in which the environment contains other agents with mental as well as physical states and processes is a natural and common biological phenomenon, for some types of organisms.
In the very simplest organisms behaviours are produced by bundles of reactive connections between sensory stimuli and motor signals.
In describing and explaining the behaviour of such an animal we may say that it detects the presence of food and moves towards it. But we are not implying that the animal has anything like the concept of food, edible objects or even eating: it's just useful for us to describe it that way. In that sense we say that plants may seek light, moisture, etc.
This paper aims to replace deep sounding unanswerable, time-wasting pseudo-questions which are often posed in the context of attacking some version of the strong AI thesis, with deep, discovery-driving, real questions about the nature and content of internal states of intelligent agents of various kinds. In particular the question `What is it like to be an X?' is often thought to identify a type of phenomenon for which no physical conditions can be sufficient, and which cannot be replicated in computer-based agents. This paper tries to separate out (a) aspects of the question that are important and provide part of the objective characterisation of the states, or capabilities of an agent, and which help to define the ontology that is to be implemented in modelling such an agent, from (b) aspects that are incoherent.
The paper supports a philosophical position that is anti-reductionist without being dualist or mystical.
I don't think anyone has explored the latter, though I think it has some very interesting properties, including some aspects of quantum mechanics, i.e. built in indeterminacy, yet in some contexts (e.g. a bagatelle) having quantised outcomes of experiments.
Slides prepared for the OUP/Prospect Debate "Are Brains Computers", at LSE, London Nov 19th 1998. In two formats PDF and postscript
Slides prepared for the Digital Biota 2 conference in Cambridge, Sept 1998. in two formats: PDF and postscript
The ``Semantics'' of Evolution: Trajectories and Trade-offs
in Design Space and Niche Space.
Invited talk for IBERAMIA-98 Lisbon, October 1998
Damasio, Descartes, Alarms and Meta-management
Invited contribution to symposium on Cognitive Agents
at IEEE International Conference on Systems, Man, and Cybernetics San
Diego, Oct 1988
What's an AI toolkit for?
Presented at AAAI-98 Workshop
on Software Tools for Developing Agents, July 1998.
Slides for a talk on how machines can love, as part of a series on literature an technology at the Royal Festival fall, London in February 1998. (See http://www.sbc.org.uk/literate.htm )
A longer paper expanding those slides on love.
Architectures for Natural and Artificial Intelligent Systems: A proposal for a multi-disciplinary project.
Architectures and types of consciousnes (Oct 1997), Abstract for a talk presented at Tucson III --Towards a Science of Consciousness in MAY 1998.
The relationship between AI and Alife, (July 1997)
Comments also invited on the following draft papers. The first two are fairly short, the third one very long (60 pages) and still growing.
Supervenience and Implementation: Virtual and Physical Machines
The evolution of what? (A DRAFT paper on the evolution of consciousness -- likely to be updated).
There's more of my stuff on consciousness posted to usenet and email
lists in
the misc/
sub-directory.
It includes discussions on various issues concerning consciousness,
what it is like to be a rock, philosophy of science, relationships
between design space and niche space, the problem of combinatorics in
intelligent search, and many other related topics.