Название: Computational CognitionАвтор: Roland Hausser
Издательство: Springer
Год: 2023
Страниц: 247
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Integrates interfaces, functional flows, data and algorithms into a coherent theory of computational cognition.
Modern science is divided into three parts: natural sciences, engineering sciences and humanities. Over the last millennia, natural and engineering sciences evolved a symbiotic relationship, but humanities still stand apart. Today, however, designing and building a talking robot is a comparatively new challenge for which all three branches are needed. Starting from the idea that designing a theory of computational cognition should be as complete as possible, and trying to answer questions such as “Which ontology is required for building a computational cognition?”, the current book integrates interfaces, components, functional flows, data structure, database schema, and algorithms into a coherent system with an extensive range of cognitive functions, and constitutes the background to the book “Ontology of Communication” recently published by the author (Springer, 2023).
Programming languages are in a continuous process of debugging and development (updates, new releases). This requires software maintenance which may be labor-intensive; for example, a program written in 1985 in Interlisp-D will require work by an expert in order to be run in today’s Common Lisp. Also, computer programs are difficult for humans to read and without additional explanation do not easily reveal the conceptual idea. Therefore there have long been efforts at defining programs at a higher level of abstraction such as UML (unified modeling language) and ER (entity relationship model). The goal is to use notions which are meaningful to humans, but also translate into various programming languages.
Structure of the book:
Part I discusses ontological distinctions between a sign-based and an agent-based approach, and continues with explanations of the data structure, the content-addressable database schema; the time-linear derivations of the speak and the hear mode; resonating content; induction, deduction, and abduction in inferencing, and concludes with a reconstruction of eight classical syllogisms as a test suite for DBS inferencing in the think mode. Database Semantics (DBS) is an agent-based data-driven theory of how natural language communication works.
Part II complements the literal use of language in the speak and hear mode with a reconstruction of syntactic mood adaptations and figurative use. The database schema of DBS is shown to lend itself not only to the tasks of traditional storage and retrieval, but also of reference, coreference, shadowing, coactivation of resonating content, and selective activation.
Part III complements the treatment of individual topics in linguistics, philosophy, and cognitive psychology with an overall software structure in the form of three interacting main components, called the interface, the memory, and the production component. The two final chapters summarize basic differences between agent-based DBS and today’s sign-based approaches.
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