Biosemiotics deals with the processes of signs in all dimensions of nature. Semiosis is the primary form of intelligence. Intelligent behaviour becomes immediately understandable in this approach because semiosis combines causality with the triadic structure of the semiotic sign. Intelligence is a process created in a given context. In the course of evolution organisms have learned to create increasingly sophisticated internal representations of external state. Semiosis is the precursor of the emergence of a feature we consider intelligence. Biosemiotics also draws (...) attention to the distributed intelligence, which relies on external semiotic scaffoldings as much as on the subject’s abilities and knowledge. (shrink)

Book review of: Vincent C. Müller, _Fundamental issues of artificial intelligence_, Springer International Publishing AG, 2016, pp. 570.

Book review of: Vincent C. Müller, Fundamental issues of artificial intelligence, Springer International Publishing AG, 2016, pp. 570.

The aim of the paper is to show the way in which human cognitive system uses external prostheses. Currently developed technologies provide human beings with tools that change their way of functioning in the environment, their understanding and the perspective from which they perceive the world. Modifying systems of thoughts, reasoning and modes of operation non­‑biological prostheses extend human cognitive system. A human being uses non­‑biological interfaces for processing information from the external world.

Book review: Bernd Heinrich, Umysł kruka. Badania i przygody w świecie wilczych ptaków, tł. Michał Szczubiałka, Wydawnictwo Czarne, Wołowiec, 2018, ss. 504.

Book review: Recenzja książki: Frans de Waal, Are We Smart Enough to Know How Smart Animals Are?, W. W. Norton & Company, Inc., New York, 2016, ss. 473.

The aim of the paper is to present the underlying reason of the unsolved symbol grounding problem. The Church-Turing Thesis states that a physical problem, for which there is an algorithm of solution, can be solved by a Turing machine, but machine operations neglect the semantic relationship between symbols and their meaning. Symbols are objects that are manipulated on rules based on their shapes. The computations are independent of the context, mental states, emotions, or feelings. The symbol processing operations are (...) interpreted by the machine in a way quite different from the cognitive processes. Cognitive activities of living organisms and computation differ from each other, because of the way they act in the real word. The result is the problem of mutual understanding of symbol grounding. (shrink)