CONSCIOUSNESS
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54 1. Philosophy<br />
state, a new way to represent the old fact. It seems plausible to explain the intuition away in<br />
the case of color experience. Nevertheless, in other cases, such as pain or other bodily sensation,<br />
the representational accounts seem to face some obstacles. Thus, we can imagine another<br />
situation that Mary is kept avoiding from having any bodily sensation, and at the same time,<br />
she learns all physical knowledge about neural mechanism of bodily sensation. When one day<br />
she first has the pain stimuli, will she recognize this experience as pain, or itch? P7<br />
29 From Chaos to Qualia: An Analysis of Phenomenal Character in Light of Process<br />
Philosophy and Self-Organizing Systems Gaylen Moore <br />
(Philosophy, Kent State University, Ravenna, OH)<br />
Recent advances in our understanding of complex dynamical systems may be of interest to<br />
philosophers seeking the best metaphysical grounds for understanding the qualitative character<br />
of subjective experience (qualia). I propose that qualia are not specifically brain processes,<br />
but are instead best thought of as world processes that can be characterized as distributed<br />
self-organizing networks of Whiteheadian actual entities. Whiteheadian actual entities have<br />
intrinsic natures that ground the subjective/qualitative aspects of phenomena, but they also<br />
exhibit extrinsic relations capable of grounding the physical properties studied by science.<br />
This suggests that qualia - normally associated with the purely mental - may be better understood<br />
as the metaphysical ground of both mental and physical properties. Due to its peculiar<br />
blending of internal and external relations, this Whiteheadian model implies that different<br />
aspects of a quale that a subject experiences as a specific shade of blue, might be contributed<br />
by contemporaneous entities that are also contributing other aspects of other qualia to other<br />
subjects widely distributed throughout time and space. Cellular automata and network models<br />
may be used to help clarify some aspects of this proposal. P1<br />
1.5 Machine consciousness<br />
30 Minds, Machines, and Lucas-Penrose Thomas Benda <br />
(Instit.of Philosophy of Mind, National Yang Ming University, Taipei, Taiwan)<br />
The famous Lucas-Penrose argument is directed against mechanism, the thesis that the<br />
mind can be modeled by a computer. Its newest version (Penrose 1994) derives a contradiction<br />
from the assumption that human (arithmetic) knowledge is constituted by a set of propositions<br />
which is which is the output of a computing machine. It contains a step S in which it<br />
is established that the set of theorems derivable from that assumption is consistent. For S to<br />
work, however, a truth or knowability predicate K is required whose application to some Goedelian<br />
fixed point reveals that the set of knowable propositions is not definable, preventing<br />
S from going through (Chalmers 1995; Shapiro 2003). No mechanical way has been found<br />
to restrict K to prevent its problematic application. Hence it seems that the Lucas-Penrose<br />
argument uses tools beyond mechanistic powers to show that human knowledge exceeds<br />
what a machine can derive. Similar reasoning, however, can be used to weaken the case of<br />
the mechanist. To model propositional human belief, take a fairly weakly designed doxastic<br />
logic, which is a conservative extension of Zermelo’s set theory, with expression variables<br />
x,. a binary predicate constant B and a quotation symbol ‘ ‘. The elementary formula B’x’k<br />
is read as “’x’ is believed with background k”. The second place k plays the role of a belief<br />
context. Axioms are, besides statements about form and minimum consistency of beliefs: (B3)<br />
“For every background and every held belief, the denial of its being held is not believed.”<br />
(B4) “For every background, believing that all x are A implies that for every x it is believed<br />
that x is A.” An additional inference rule is (RB) “From A infer belief of A with some background.”<br />
(RB) is, due to the existential quantifier, weak. Indeed, for any state of affairs A, a<br />
background of interest or expertise can be conjured, such that A is believed. This logic looks<br />
barely strong enough to cover beliefs we have, yet from (B3), (B4) and (RB) inconsistency<br />
is readily derived, so the set of beliefs under it is not definable (Benda 2009). Again, no mechanical<br />
means seem to be available to prevent an application of a belief predicate that brings<br />
about inconsistency. So the set of beliefs under this logic is not definable. On the other hand,<br />
there are good reasons to maintain that the physical states of a brain or, for that matter, of