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On evolution of thinking about semiosis: semiotics meets cognitive science

100%
Konderak P.
Avant
|
2016
|
vol. 7
|
issue 2
EN
The aim of the paper is to sketch an idea-seen from the point of view of a cognitive scientist-of cognitive semiotics as a discipline. Consequently, the article presents aspects of the relationship between the two disciplines: semi- otics and cognitive science. The main assumption of the argumentation is that at least some semiotic processes are also cognitive processes. At the methodo- logical level, this claim allows for application of cognitive models as explana- tions of selected semiotic processes. In particular, the processes of embedded interpretation (in contrast to interpretability in principle) are considered: belief revision, dynamic organization of meaning and metaknowledge. The explanations are formulated in terms of artificial cognitive agents of the GLAIR/SNePS cognitive architecture. Finally, it is suggested that even if some- one rejects the idea of artificial cognitive systems as simulations of semiotic processes, they may acknowledge the usefulness of cognitive modeling in analysis of semiotic processes in virtual, simulated worlds and in the area of “new media”.
2
Publication available in full text mode
Content available

On evolution of thinking about semiosis: semiotics meets cognitive science

100%
Konderak P.
Avant
|
2016
|
vol. 7
|
issue 2
EN
The aim of the paper is to sketch an idea-seen from the point of view of a cognitive scientist-of cognitive semiotics as a discipline. Consequently, the article presents aspects of the relationship between the two disciplines: semi- otics and cognitive science. The main assumption of the argumentation is that at least some semiotic processes are also cognitive processes. At the methodo- logical level, this claim allows for application of cognitive models as explana- tions of selected semiotic processes. In particular, the processes of embedded interpretation (in contrast to interpretability in principle) are considered: belief revision, dynamic organization of meaning and metaknowledge. The explanations are formulated in terms of artificial cognitive agents of the GLAIR/SNePS cognitive architecture. Finally, it is suggested that even if some- one rejects the idea of artificial cognitive systems as simulations of semiotic processes, they may acknowledge the usefulness of cognitive modeling in analysis of semiotic processes in virtual, simulated worlds and in the area of “new media”.
3
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Why is neuron modeling of particular philosophical interest?

86%
Polak P.
Zagadnienia Filozoficzne w Nauce
|
2022
|
issue 73
347-356
EN
This review article discusses Andrzej Bielecki’s book Models of Neurons and Perceptrons: Selected Problems and Challenges, as published by Springer International Publishing. This work exemplifies “philosophy in science” by adopting a broad, multidisciplinary perspective for the issues related to the simulation of neurons and neural networks, and the author has addressed many of the important philosophical assumptions that are entangled in this area of modeling. Bielecki also raises several important methodological issues about modeling. This book is recommended for any philosophers who wish to learn more about the current state of neural modeling and find inspiration for a deeper philosophical reflection on the subject.
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