CONSCIOUSNESS

58 1. Philosophy
37 The Alien Pure Consciousness (APC) problem Oded Maimon
(Industrial Engineering, Tel Aviv University, Tel Aviv, Israel)
The alien has logic potential as a human being, but without any data at all. That is he
knows nothing (of what we consider knowledge): He does not have any opinion, does not
know any language, etc. This alien comes to the earth and is exposed to infinite data (e.g. the
internet), but stays by himself - without any ‘guidance’. What are the processes and transformation
that the alien undergoes (if any)? This is the Alien Pure Consciousness (APC) problem.
Can he learn? Does he learn? If yes, then what is his knowledge? Can we compare his
knowledge, after a while, to the knowledge that a regular person has? This paper shows a
process that solves the APC problem. This is a very relevant problem in today’s environment,
where we have access to abundance of data (without proper introduction), and especially for
kids. In this paper we show a mathematical model and algorithmic process for learning from
scratch, without any supervision, but data dependent, to solve the APC problem. C5
38 A Critique on Artificial Intelligence Model of Mind Rajakishore Nath
(Department of Humanities and S, Indian Institute of Technology
Bombay, Mumbai, Maharastra India)
Computer and Mind are the two concepts that together define an independent discipline
called Artificial intelligence (AI). Mind collectively refers to the aspects of intellect and
consciousness manifested as combinations of thought, perception, memory, emotion, will,
reason and imagination; mind is the stream of consciousness. It includes all of the brain’s
conscious processes. Where as intelligence is one of the important properties of mind. In
mid-twentieth century, the hypothesis, ‘a machine can think’ became very popular after, Alan
Turing’s article on ‘Computing Machinery and Intelligence’. This hypothesis, ‘a machine can
think’ established the foundations of artificial intelligence, and claimed that artificial intelligence
has mind, with the power to compete with human beings. That is to say, an artificial,
non-biological system could be a sort of thing that could give rise to mental activities. Thus
artificial intelligence has emerged as a scientific programme in the twentieth century. In the
first section, I shall show how consciousness is conceptualized in the domain of AI. The main
aim of AI is not only to construct difficult programs to solve our day-to-day problems, but also
to reproduce mentality in machines. It was claimed that all the mental qualities are ascribable
to machines. My intention in this paper is to clarify consciousness from a subjective point of
view. My claim is that consciousness cannot be fully represented in a mechanistic domain.
There are subjective mental or conscious states, which can be seen in a first-person perspective
of their proper understanding. P7
39 A Logical Model of the Brain and Consciousness John Strozier (Science, Mathematics & Technol, Empire State College/SUNY, Sedona, AZ)
We present a logical computational model of a brain and consciousness, complete with
diagram and pseudocode; and discuss its consequences. We posit a real world out there that
all animals must deal with in order to survive. Indeed, the simplest representation of the world
as brain states of a given individual organism, i, at time t is: Bi = (1-Ki)^(-1)CiW where W is
the sum total of the information comprising the real world at a given time, Ci the operator on
the world that projects out whatever information about the world the senses can detect; and Ki
is the operator on the brain that outputs the effects of that organism on the world. In general,
Ci and Ki are different for each species and individual; having components in both genetic
heredity and learning (where learning again has components in genetic heredity and learning,
etc.).We agree with Pinker and others that the brain/consciousness is advantageously studied
through its biological evolution. In one-celled animals; simple feedback chemical ‘circuits’
monitor the concentrations of essential chemicals (sugar, proteins, water, etc.) in the cell.
When these get outside their set-points, determined by biological evolution, movement is
generated to get to a new location. The logic of single-celled animals is straightforward; but
as animals become more complex, due to biological evolution, so does the brain; building up
as a set of ‘modules’ (Pinker) that run in parallel and increasingly become more complex with
multiple interconnections. We suggest that at a certain level of complexity, a ‘visual tableau’