Social Reinforcement in Artificial Prelinguistic Development: A Study Using Intrinsically Motivated Exploration Architectures
This paper introduces an intrinsically motivated sensorimotor exploration architecture which considers social reinforcement and motor constraint awareness. The main objective is to study the influence of social interactions during artificial early prelinguistic development. We argue that this archit...
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Veröffentlicht in: | IEEE transactions on cognitive and developmental systems 2020-06, Vol.12 (2), p.198-208 |
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creator | Acevedo-Valle, Juan M. Hafner, Verena V. Angulo, Cecilio |
description | This paper introduces an intrinsically motivated sensorimotor exploration architecture which considers social reinforcement and motor constraint awareness. The main objective is to study the influence of social interactions during artificial early prelinguistic development. We argue that this architecture contributes to explain development from voiceless to sequence of vowels vocalizations. A cognitive developmental perspective is considered emphasizing embodied cognition and sensorimotor exploratory behaviors. For a new-born agent, motor constraints are unknown. However, the agent is endowed with a somatosensory system that indicates if a motor configuration was reached or not. This information is used to model and predict constraint violations. Furthermore, the architecture considers imitative behaviors that constrain the search space during exploration. Interaction occurs when the learner sensory production is similar to a sensory unit relevant to communication. In that case, the instructor perceives this similitude and reformulates with the relevant sensory unit. When the learner perceives an utterance by the instructor, it attempts to imitate it. Two systems are considered for experimentation: 1) a toy example and 2) a simulated vocal tract. In general, our results suggest that constraint awareness and social reinforcement contribute to achieve less redundant exploration, lower exploration and evaluation errors, and a clearer picture of developmental transitions. |
doi_str_mv | 10.1109/TCDS.2018.2883249 |
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The main objective is to study the influence of social interactions during artificial early prelinguistic development. We argue that this architecture contributes to explain development from voiceless to sequence of vowels vocalizations. A cognitive developmental perspective is considered emphasizing embodied cognition and sensorimotor exploratory behaviors. For a new-born agent, motor constraints are unknown. However, the agent is endowed with a somatosensory system that indicates if a motor configuration was reached or not. This information is used to model and predict constraint violations. Furthermore, the architecture considers imitative behaviors that constrain the search space during exploration. Interaction occurs when the learner sensory production is similar to a sensory unit relevant to communication. In that case, the instructor perceives this similitude and reformulates with the relevant sensory unit. When the learner perceives an utterance by the instructor, it attempts to imitate it. Two systems are considered for experimentation: 1) a toy example and 2) a simulated vocal tract. In general, our results suggest that constraint awareness and social reinforcement contribute to achieve less redundant exploration, lower exploration and evaluation errors, and a clearer picture of developmental transitions.</description><identifier>ISSN: 2379-8920</identifier><identifier>EISSN: 2379-8939</identifier><identifier>DOI: 10.1109/TCDS.2018.2883249</identifier><identifier>CODEN: ITCDA4</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Aprenentatge automàtic ; Aprenentatge cognitiu ; Architecture ; Biological system modeling ; Cognition ; Cognitive learning ; Computer architecture ; Computer simulation ; Constraint modelling ; Experimentation ; Exploration ; Haptic interfaces ; Informàtica ; Intel·ligència artificial ; Intrinsic motivations ; Natural languages ; Prelinguistic social development ; Reinforcement ; Robot sensing systems ; Sensorimotor exploration ; Social factors ; Somesthetic Senses ; Space exploration ; Vocal development ; Vocal tract ; Àrees temàtiques de la UPC</subject><ispartof>IEEE transactions on cognitive and developmental systems, 2020-06, Vol.12 (2), p.198-208</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><rights>info:eu-repo/semantics/openAccess</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c378t-c361d4bd7043b566b347242aa4ec1326f434a5987a1947cc7e961f8f09293ac93</citedby><cites>FETCH-LOGICAL-c378t-c361d4bd7043b566b347242aa4ec1326f434a5987a1947cc7e961f8f09293ac93</cites><orcidid>0000-0002-4005-2441 ; 0000-0001-9589-8199</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8543854$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,796,885,26974,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8543854$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Acevedo-Valle, Juan M.</creatorcontrib><creatorcontrib>Hafner, Verena V.</creatorcontrib><creatorcontrib>Angulo, Cecilio</creatorcontrib><title>Social Reinforcement in Artificial Prelinguistic Development: A Study Using Intrinsically Motivated Exploration Architectures</title><title>IEEE transactions on cognitive and developmental systems</title><addtitle>TCDS</addtitle><description>This paper introduces an intrinsically motivated sensorimotor exploration architecture which considers social reinforcement and motor constraint awareness. The main objective is to study the influence of social interactions during artificial early prelinguistic development. We argue that this architecture contributes to explain development from voiceless to sequence of vowels vocalizations. A cognitive developmental perspective is considered emphasizing embodied cognition and sensorimotor exploratory behaviors. For a new-born agent, motor constraints are unknown. However, the agent is endowed with a somatosensory system that indicates if a motor configuration was reached or not. This information is used to model and predict constraint violations. Furthermore, the architecture considers imitative behaviors that constrain the search space during exploration. Interaction occurs when the learner sensory production is similar to a sensory unit relevant to communication. In that case, the instructor perceives this similitude and reformulates with the relevant sensory unit. When the learner perceives an utterance by the instructor, it attempts to imitate it. Two systems are considered for experimentation: 1) a toy example and 2) a simulated vocal tract. In general, our results suggest that constraint awareness and social reinforcement contribute to achieve less redundant exploration, lower exploration and evaluation errors, and a clearer picture of developmental transitions.</description><subject>Aprenentatge automàtic</subject><subject>Aprenentatge cognitiu</subject><subject>Architecture</subject><subject>Biological system modeling</subject><subject>Cognition</subject><subject>Cognitive learning</subject><subject>Computer architecture</subject><subject>Computer simulation</subject><subject>Constraint modelling</subject><subject>Experimentation</subject><subject>Exploration</subject><subject>Haptic interfaces</subject><subject>Informàtica</subject><subject>Intel·ligència artificial</subject><subject>Intrinsic motivations</subject><subject>Natural languages</subject><subject>Prelinguistic social development</subject><subject>Reinforcement</subject><subject>Robot sensing systems</subject><subject>Sensorimotor exploration</subject><subject>Social factors</subject><subject>Somesthetic Senses</subject><subject>Space exploration</subject><subject>Vocal development</subject><subject>Vocal tract</subject><subject>Àrees temàtiques de la UPC</subject><issn>2379-8920</issn><issn>2379-8939</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>XX2</sourceid><recordid>eNpNUctKAzEUDaKg1H6AuAm4bs2rk8Rdqa-ColhdhzS9oynjpCaZYhf-uzNWqov74p5zuNyD0AklQ0qJPn-eXM6GjFA1ZEpxJvQeOmJc6oHSXO_vekYOUT-lJSGEFlwqIY_Q1yw4byv8BL4uQ3TwDnXGvsbjmH3pf3aPESpfvzY-Ze_wJayhCqsOd4HHeJabxQa_pBaAp3WOvk7e2ara4PuQ_dpmWOCrz1UVos0-dLruzWdwuYmQjtFBaasE_d_aQy_XV8-T28Hdw810Mr4buPbM3OaCLsR8IYng81FRzLmQTDBrBTjKWVEKLuxIK2mpFtI5CbqgpSqJZppbp3kP0a2uS40zERxEZ7MJ1v8NXTAimeEFF-1_euhsy1nF8NFAymYZmli3ZxomKGNMCcb_KceQUoTSrKJ_t3FjKDGdOaYzx3TmmF9zWs7pluMBYIdXI8G7-AYQ6ow3</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Acevedo-Valle, Juan M.</creator><creator>Hafner, Verena V.</creator><creator>Angulo, Cecilio</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>XX2</scope><orcidid>https://orcid.org/0000-0002-4005-2441</orcidid><orcidid>https://orcid.org/0000-0001-9589-8199</orcidid></search><sort><creationdate>20200601</creationdate><title>Social Reinforcement in Artificial Prelinguistic Development: A Study Using Intrinsically Motivated Exploration Architectures</title><author>Acevedo-Valle, Juan M. ; Hafner, Verena V. ; Angulo, Cecilio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c378t-c361d4bd7043b566b347242aa4ec1326f434a5987a1947cc7e961f8f09293ac93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aprenentatge automàtic</topic><topic>Aprenentatge cognitiu</topic><topic>Architecture</topic><topic>Biological system modeling</topic><topic>Cognition</topic><topic>Cognitive learning</topic><topic>Computer architecture</topic><topic>Computer simulation</topic><topic>Constraint modelling</topic><topic>Experimentation</topic><topic>Exploration</topic><topic>Haptic interfaces</topic><topic>Informàtica</topic><topic>Intel·ligència artificial</topic><topic>Intrinsic motivations</topic><topic>Natural languages</topic><topic>Prelinguistic social development</topic><topic>Reinforcement</topic><topic>Robot sensing systems</topic><topic>Sensorimotor exploration</topic><topic>Social factors</topic><topic>Somesthetic Senses</topic><topic>Space exploration</topic><topic>Vocal development</topic><topic>Vocal tract</topic><topic>Àrees temàtiques de la UPC</topic><toplevel>online_resources</toplevel><creatorcontrib>Acevedo-Valle, Juan M.</creatorcontrib><creatorcontrib>Hafner, Verena V.</creatorcontrib><creatorcontrib>Angulo, Cecilio</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005–Present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE/IET Electronic Library</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Recercat</collection><jtitle>IEEE transactions on cognitive and developmental systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Acevedo-Valle, Juan M.</au><au>Hafner, Verena V.</au><au>Angulo, Cecilio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Social Reinforcement in Artificial Prelinguistic Development: A Study Using Intrinsically Motivated Exploration Architectures</atitle><jtitle>IEEE transactions on cognitive and developmental systems</jtitle><stitle>TCDS</stitle><date>2020-06-01</date><risdate>2020</risdate><volume>12</volume><issue>2</issue><spage>198</spage><epage>208</epage><pages>198-208</pages><issn>2379-8920</issn><eissn>2379-8939</eissn><coden>ITCDA4</coden><abstract>This paper introduces an intrinsically motivated sensorimotor exploration architecture which considers social reinforcement and motor constraint awareness. 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When the learner perceives an utterance by the instructor, it attempts to imitate it. Two systems are considered for experimentation: 1) a toy example and 2) a simulated vocal tract. In general, our results suggest that constraint awareness and social reinforcement contribute to achieve less redundant exploration, lower exploration and evaluation errors, and a clearer picture of developmental transitions.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/TCDS.2018.2883249</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-4005-2441</orcidid><orcidid>https://orcid.org/0000-0001-9589-8199</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aprenentatge automàtic Aprenentatge cognitiu Architecture Biological system modeling Cognition Cognitive learning Computer architecture Computer simulation Constraint modelling Experimentation Exploration Haptic interfaces Informàtica Intel·ligència artificial Intrinsic motivations Natural languages Prelinguistic social development Reinforcement Robot sensing systems Sensorimotor exploration Social factors Somesthetic Senses Space exploration Vocal development Vocal tract Àrees temàtiques de la UPC |
title | Social Reinforcement in Artificial Prelinguistic Development: A Study Using Intrinsically Motivated Exploration Architectures |
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