Situated Concepts and Pre-Linguistic Symbol Use

In the recent decades, alternative notions regarding the role of symbols in intelligence in natural and artificial systems have attracted significant inter- est. The main difference of the so-called situated and embodied approaches to cognitive science from the traditional cognitivist position is th...

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Bibliographic Details
Main Author: Türkmen, Ulas
Other Authors: Prof. Dr. Kai-Uwe Kühnberger
Format: Doctoral Thesis
Language:English
Published: 2010
Subjects:
Online Access:https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201006076293
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spelling ndltd-uni-osnabrueck.de-oai-repositorium.ub.uni-osnabrueck.de-urn-nbn-de-gbv-700-2010060762932020-10-28T17:22:31Z Situated Concepts and Pre-Linguistic Symbol Use Türkmen, Ulas Prof. Dr. Kai-Uwe Kühnberger PD Dr. Helmar Gust situatedness artificial intelligence symbolic communication language games language emergence exemplar learning ddc:000 In the recent decades, alternative notions regarding the role of symbols in intelligence in natural and artificial systems have attracted significant inter- est. The main difference of the so-called situated and embodied approaches to cognitive science from the traditional cognitivist position is that symbolic repre- sentations are viewed as resources, similar to maps used for navigation or plans for activity, instead of as transparent stand-ins in internal world models. Thus, all symbolic resources have to be interpreted and re-contextualized for use in concrete situations. In this view, one of the primary sources of such symbolic resources is language. Cognitivism views language as a vessel carrying informa- tion originally located in the processing mechanisms of the individual agents. Situated approaches, on the other hand, view language both as a communicative mechanism and as a means for the individual agents to enhance and extend their cognitive machinery, by e.g. better utilizing their attentional resources, or mod- ifying their perceptual-motor means. Taking inspiration from these ideas, and building on multi-agent models developed in other fields, the field of language evolution developed models of the emergence of shared resources for communi- cation in a community of agents. In these models, agents with various means of categorization and learning engage in communicative interactions with each other, using shared signs to refer either to pre-given meanings or entities in a situation. In order to avoid falling into the same mentalist pitfalls as cognitivism in the design of these models, such as the stipulation of an inner sphere of mean- ings for which communicative signs are mere labels, the role of communication should be viewed as one of the social coordination of behavior using physically grounded symbols. To this end, an experimental setup for language games, and a robotic model for agents which engage in such games are presented. The setup allows the agents to utilize shared symbols in the completion of a simple task, with one agent instructing another on which action to undertake. The symbols used by agents in the language games are grounded in the embodied choices presented to them by their environment, and the agents can further use the symbols created in these games for enhancing their own behavioral means. The learning mechanism of the agents is similarity-based, and uses low-level sensory data to avoid the building in of features. Experiments have shown that the establishment of a common vocabulary of labels depends on how well the instructors are trained on the task and the availability of feedback mechanisms for the exchanged labels. 2010-06-07 doc-type:doctoralThesis https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201006076293 eng Namensnennung - Nicht-kommerziell - Weitergabe unter gleichen Bedingungen 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf application/zip
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic situatedness
artificial intelligence
symbolic communication
language games
language emergence
exemplar learning
ddc:000
spellingShingle situatedness
artificial intelligence
symbolic communication
language games
language emergence
exemplar learning
ddc:000
Türkmen, Ulas
Situated Concepts and Pre-Linguistic Symbol Use
description In the recent decades, alternative notions regarding the role of symbols in intelligence in natural and artificial systems have attracted significant inter- est. The main difference of the so-called situated and embodied approaches to cognitive science from the traditional cognitivist position is that symbolic repre- sentations are viewed as resources, similar to maps used for navigation or plans for activity, instead of as transparent stand-ins in internal world models. Thus, all symbolic resources have to be interpreted and re-contextualized for use in concrete situations. In this view, one of the primary sources of such symbolic resources is language. Cognitivism views language as a vessel carrying informa- tion originally located in the processing mechanisms of the individual agents. Situated approaches, on the other hand, view language both as a communicative mechanism and as a means for the individual agents to enhance and extend their cognitive machinery, by e.g. better utilizing their attentional resources, or mod- ifying their perceptual-motor means. Taking inspiration from these ideas, and building on multi-agent models developed in other fields, the field of language evolution developed models of the emergence of shared resources for communi- cation in a community of agents. In these models, agents with various means of categorization and learning engage in communicative interactions with each other, using shared signs to refer either to pre-given meanings or entities in a situation. In order to avoid falling into the same mentalist pitfalls as cognitivism in the design of these models, such as the stipulation of an inner sphere of mean- ings for which communicative signs are mere labels, the role of communication should be viewed as one of the social coordination of behavior using physically grounded symbols. To this end, an experimental setup for language games, and a robotic model for agents which engage in such games are presented. The setup allows the agents to utilize shared symbols in the completion of a simple task, with one agent instructing another on which action to undertake. The symbols used by agents in the language games are grounded in the embodied choices presented to them by their environment, and the agents can further use the symbols created in these games for enhancing their own behavioral means. The learning mechanism of the agents is similarity-based, and uses low-level sensory data to avoid the building in of features. Experiments have shown that the establishment of a common vocabulary of labels depends on how well the instructors are trained on the task and the availability of feedback mechanisms for the exchanged labels.
author2 Prof. Dr. Kai-Uwe Kühnberger
author_facet Prof. Dr. Kai-Uwe Kühnberger
Türkmen, Ulas
author Türkmen, Ulas
author_sort Türkmen, Ulas
title Situated Concepts and Pre-Linguistic Symbol Use
title_short Situated Concepts and Pre-Linguistic Symbol Use
title_full Situated Concepts and Pre-Linguistic Symbol Use
title_fullStr Situated Concepts and Pre-Linguistic Symbol Use
title_full_unstemmed Situated Concepts and Pre-Linguistic Symbol Use
title_sort situated concepts and pre-linguistic symbol use
publishDate 2010
url https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201006076293
work_keys_str_mv AT turkmenulas situatedconceptsandprelinguisticsymboluse
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