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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

On a Cognitive Model of Semiosis

100%
Konderak P.
Studies in Logic, Grammar and Rhetoric
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2015
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vol. 40
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issue 1
129-144
EN
What is the class of possible semiotic systems? What kinds of systems could count as such systems? The human mind is naturally considered the prototypical semiotic system. During years of research in semiotics the class has been broadened to include i.e. living systems (Zlatev, 2002) like animals, or even plants (Krampen, 1992). It is suggested in the literature on artificial intelligence that artificial agents are typical examples of symbol-processing entities. It also seems that (at least some) semiotic processes are in fact cognitive processes. In consequence, it is natural to ask the question about the relation between semiotic studies and research on artificial cognitive systems within cognitive science. Consequently, my main question concerns the problem of inclusion or exclusion from the semiotic spectrum at least some artificial (computational) systems. I would like to consider some arguments against the possibility of artificial semiotic systems and I will try to repeal them. Then I will present an existing natural-language using agent of the SNePS system and interpret it in terms of Peircean theory of signs. I would like also to show that some properties of semiotic systems in Peircean sense could be also found in a discussed artificial system. Finally, I will have some remarks on the status of semiotics in general.
4
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Wyłanianie się komunikacji: argument z robotyki

100%
Konderak P.
Annales Universitatis Mariae Curie-Sklodowska, sectio I – Philosophia-Sociologia
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2017
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vol. 42
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issue 1
EN
Some “traditional” issues in language emergence and development are viewed through the prism of the interaction of autonomous robots with their environment and through their communicative skills based on the signaling system which emerges as a result of the robots’ own evolution. The main goal of the paper is to present initial conditions necessary for the emergence of communication in a group of robots. First, the paper discusses, in relation to the general faculty of language, the change that has taken place within cognitive science, particularly within computational modelling and Artificial Intelligence. Then a number of basic, individual cognitive mechanisms (pre-adaptations) are suggested, including the robots’ ability to distinguish signals, associate them with particular situations and imitate signaling behavior. These basic individual abilities may develop in the context of a community of interacting agents as well as in the changing communicative environment. In order to practice and develop the cognitive capacities, robotic agents are expected to engage in a number of activities ('language games'), including the imitation of actions, the negotiation of reference and the use of signals in the absence of referents. Inquiries into the emergence of communication in natural and artificial systems can help isolate the possible stages of the development of the robots’ communicative abilities.
PL
Niektóre „tradycyjne” kwestie związane z wyłanianiem się i rozwojem języka mogą być rozpatrywane w perspektywnie autonomicznych robotów, ich interakcji ze środowiskiem oraz ich zdolności komunikacyjnych opartych na systemie sygnałów, wyłaniającym się w toku ewolucji robotów. Głównym celem artykułu jest przedstawienie podstawowych, minimalnych zdolności niezbędnych do wyłonienia się komunikacji w grupie robotów. Na początku zarysowana została zmiana, jaka zaszła w podejściu do modelowania języka w kognitywistyce i w szczególności w kognitywistycznych badaniach nad sztuczną inteligencją. W dalszej części zaprezentowano przypuszczalne podstawowe mechanizmy poznawcze, w jakie powinien być wyposażony indywidualny robot, mianowicie: zdolność do rozróżniania sygnałów, do kojarzenia ich z konkretnymi sytuacjami oraz do naśladowania zachowań sygnalizacyjnych. Te podstawowe indywidualne zdolności mogą się rozwijać w ramach grupy współdziałających robotów osadzonych w zmieniającym się środowisku. By przećwiczyć te zdolności i je rozwinąć, roboty biorą udział w serii narzuconych przez eksperymentatora zadań („gier językowych”), takich jak: naśladowanie działań, negocjacje odniesienia, używanie sygnałów przy braku referenta tych sygnałów. Badania nad wyłanianiem się komunikacji w społecznościach naturalnych i sztucznych systemów mogą pomóc w identyfikacji etapów rozwoju zdolności komunikacyjnych.
5
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Language, Kulture and Mind (Lublin, 23–26 czerwca 2014)

63%
Konderak P.
Kultura i Wartości
|
2014
|
issue 10
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