There is a supposition that with the current progress in artificial intelligence (AI),
machines that surpass the cognitive functioning of human beings is imminent. There is no
doubt that singular human functions can be performed more efficiently by machines.
however. the complexity of human functioning involves the simultaneous cognizance of
information received through the various senses. The complexity of human functioning is
best reflected in the perceptions of Marcel Jousse in The Anthropology of Geste and
Rhythm (I997).
Whilst proponents of AI envisage the cognitive functioning of the computer
surpassing human cognitive functioning, they fail to acknowledge that human cognitive
functioning extends beyond mere information processing and expression of predictable
responses. The complexity of human expression is influenced by a variety of sensory
environmental stimuli as well as previous experience.
The fundamental 'law' of the indivisibility of the psycho-physiological complexus of
the human composite identified by Jousse, indicates that human memory emanates from
human interaction with the environment. The computer is incapable of interacting with
the environment in the way that the human being interacts, which implies that it cannot
replicate human memory.
This study argues that:
• The human being operates simultaneously as a psychological, physiological
and biological being, which implies that human memory, is simultaneously
biological, psychological and emotional. • Human memory arises out of mimism and is biologically rhythmed, and that
this rhythm operates in synchrony with the universal cosmoiogicai rhythms.
• Computer rhythms do not operate in synchrony with universal cosmological
rhythms. which implies that the operation of its memory is very different to
that of the human being. Therefore the computer will not be able to replicate
human functioning. / Thesis (M.A.)-University of Natal, Durban, 2000.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ukzn/oai:http://researchspace.ukzn.ac.za:10413/5553 |
| Date | January 2000 |
| Creators | Moodley, Nareen. |
| Contributors | Sienaert, Edgard R. |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
Page generated in 0.002 seconds