Burghard B. Rieger:
In: Albus, J./Meystel, A./Pospelov, D./Reader, T. (eds.): Architectures for Semiotic Modeling and Situation Analysis in Large Complex Systems (Proceedings of The 1995 ISIC-Workshop, Monterey: the 10th International IEEE-Symposium on Intelligent Control), Bala Cynwyd, PA. (AdRem Inc.) 1995, pp. 130-138
Other than the clear-cut realistic division between information processing systems and their surrounding environments employed sofar in models of natural language understanding by machine, it is argued here that a semiotic approach based on an ecological understanding of informational systems is feasible and more adequate. A critical evaluation of cognitive approaches in knowledge-based computational linguistics together with the seminal notions of situation and language game are combined to allow for a procedural modeling and numerical reconstruction of processes that simulate the constitution of meanings and the interpretation of signs prior to any predicative and propositional representations which dominate traditional formats in syntax and semantics. The emergence of semantic structure as a self-organizing process is studied in Semiotic Cognitive Information Processing Systems on the basis of word usage regularities in natural language discourse whose linearly agglomerative (syntagmatic) and whose selectively interchangeable (paradigmatic) constraints are exploited by text analysing algorithms. They accept natural language discourse as input and produce a vector space structure as output which may be interpreted as an internal (endo) representation of the SCIP system's states of adaptation to the external (exo) structures of its environment as mediated by the discourse processed. The system's architecture is a two-level consecutive mapping of distributed representations of systems of (fuzzy) linguistic entities whose states acquire symbolic functions that can be equaled to (basal) referencial core predicates (like: on the left, in front etc.) . Test results from an experimental setting with varying fuzzy interpretations of hedges (like: extremely nearby, very faraway etc.) are produced to illustrate the SCIP system's miniature (cognitive) language understanding and meaning acquisition capacity without any initial explicit syntactic and semantic knowledge.
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