I would welcome comments on these (as always).
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Learning Appropriate Contexts
CPM Report No.: 00-78
By: Bruce Edmonds
Date: 12th February 2001
Abstract
Genetic Programming is extended so that the solutions being
evolved do so in the context of local domains within the total
problem domain. This produces a situation where different
“species” of solution develop to exploit different “niches” of
the problem – indicating exploitable solutions. It is argued
that for context to be fully learnable a further step of
abstraction is necessary. Such contexts abstracted from
clusters of solution/model domains make sense of the problem
of how to identify when it is the content of a model is wrong
and when it is the context. Some principles of learning to
identify useful contexts are proposed.
Keywords: learning, conditions of application, context,
evolutionary computing, error
Accessible at:
http://cfpm.org/cpmrep78.html
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What if all truth is context-dependent?
CPM Report No.: 00-77
By: Bruce Edmonds
Date: 12th February 2001
Abstract
This paper argues that truth is by nature context-dependent –
that no truth can be applied regardless of context. I call this
“strong contextualism”. Some objections to this are considered
and rejected, principally: that there are universal truths given
to us by physics, logic and mathematics; and that claiming “no
truths are universal” is self-defeating. Two “models” of truth
are suggested to indicate that strong contextualism is coherent.
It is suggested that some of the utility of the “universal
framework” can be recovered via a more limited “third person
viewpoint”.
Keywords: philosophy, universality, context, truth,
knowledge
Accessible at:
http://cfpm.org/cpmrep77.html
Regards.
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Bruce Edmonds,
Centre for Policy Modelling,
Manchester Metropolitan University, Aytoun Bldg.,
Aytoun St., Manchester, M1 3GH. UK.
Tel: +44 161 247 6479 Fax: +44 161 247 6802
http://bruce.edmonds.name
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Posting to pcp-discuss@lanl.gov from Bruce Edmonds <b.edmonds@mmu.ac.uk>
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