Towards a Theory of Meaning Extraction

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Towards Meaningful Information Processing: A unifying representation for Peirce’s sign types

An open problem in AI is the definition of meaningful information processing. That human interpretation and information processing by current computers can be different is well illustrated by Searle’s famous Chinese room argument thought experiment. In this paper we suggest that an answer to the above open problem of AI can be given by introducing a model of information processing which is embedded in a Peircean theory of (meaningful) signs. Peirce’s sign theory, that he systematically derived from his concept of a category, is seen by many as a theory of the knowable (the types of distinctions that can be signified by signs). We show that our model of information processing has the potential for representing three types of relation that are analogous to Peirce’s three classifications of sign, consisting of 10, 28, and 66 elements

Towards meaningful information processing: A unifying representation for peirce's sign types

Contains fulltext : 122978.pdf (preprint version ) (Open Access

A Peircean ontology of language

Contains fulltext : 19050.pdf ( ) (Open Access)14 p

Towards a Peircean model of language

Contains fulltext : 18677_towaa_pem.pdf ( ) (Open Access)14 p

Towards a new world-ontology

A crucial problem of knowledge representation is that it has to be formal and informal at the same time. Here, ‘formal’ refers to knowledge as a mathematical concept which is thought, and ‘informal’ to knowledge as something which is experienced, i.e. a ‘real’ world phenomenon. This paper is an attempt to reconcile these potentially contradictory conditions. Our aim is to show that a cognitively based formal representation may exist, underlying traditional (formal) ontology, which may uniformly characterize the different domains of human knowledge like logic, language, mathematics, etc. We derive such a representation from the properties of cognition and signification, and elaborate its application in propositional logic and (briefly) in syntax.