Learning by Imitation for the Improvement of the Individual and the Social Behaviors of Self-organized Autonomous Agents View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Abdelhak Chatty , Philippe Gaussier , Ilhem Kallel , Philippe Laroque , Adel M. Alimi

ABSTRACT

This paper shows that learning by imitation leads to a positive effect not only in human behavior but also in the behavior of the autonomous agents (AA) in the field of self-organized creation deposits. Indeed, for each agent, the individual discoveries (i.e. goals) have an effect on the performance of the population level and therefore they induce a new learning capability at the individual level. Particularly, we show through a set of experiments that adding a simple imitation capability to our bio-inspired architecture allows increasing the ability of agents to share more information and improving the overall performance of the whole system. We will conclude with robotics’ experiments which will feature how our approach applies accurately to real life environments. More... »

PAGES

44-52

References to SciGraph publications

Book

TITLE

Advances in Swarm Intelligence

ISBN

978-3-642-38714-2
978-3-642-38715-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-38715-9_6

DOI

http://dx.doi.org/10.1007/978-3-642-38715-9_6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052634261


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Sfax", 
          "id": "https://www.grid.ac/institutes/grid.412124.0", 
          "name": [
            "REGIM: REsearch Groups on Intelligent Machine, National School of Engineers (ENIS), Sfax University, Sfax, Tunisia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chatty", 
        "givenName": "Abdelhak", 
        "id": "sg:person.015134210712.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015134210712.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cergy-Pontoise University", 
          "id": "https://www.grid.ac/institutes/grid.7901.f", 
          "name": [
            "ETIS: Neuro-cybernetic team, Image and signal Processing, National School of Electronics and Its Applications (ENSEA), Cergy-Pontoise University, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gaussier", 
        "givenName": "Philippe", 
        "id": "sg:person.01041272554.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041272554.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sfax", 
          "id": "https://www.grid.ac/institutes/grid.412124.0", 
          "name": [
            "REGIM: REsearch Groups on Intelligent Machine, National School of Engineers (ENIS), Sfax University, Sfax, Tunisia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kallel", 
        "givenName": "Ilhem", 
        "id": "sg:person.013324546562.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013324546562.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cergy-Pontoise University", 
          "id": "https://www.grid.ac/institutes/grid.7901.f", 
          "name": [
            "ETIS: Neuro-cybernetic team, Image and signal Processing, National School of Electronics and Its Applications (ENSEA), Cergy-Pontoise University, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Laroque", 
        "givenName": "Philippe", 
        "id": "sg:person.013511147671.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013511147671.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sfax", 
          "id": "https://www.grid.ac/institutes/grid.412124.0", 
          "name": [
            "REGIM: REsearch Groups on Intelligent Machine, National School of Engineers (ENIS), Sfax University, Sfax, Tunisia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Alimi", 
        "givenName": "Adel M.", 
        "id": "sg:person.014560424266.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014560424266.28"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0736-5845(95)00004-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007197781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0736-5845(95)00004-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007197781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/088395198117596", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009321480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s004220100269", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015097071", 
          "https://doi.org/10.1007/s004220100269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.brainresbull.2008.01.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030335242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/robio.2012.6491173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093253480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/riiss.2011.5945791", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093722094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/devlrn.2012.6400832", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095455956"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013", 
    "datePublishedReg": "2013-01-01", 
    "description": "This paper shows that learning by imitation leads to a positive effect not only in human behavior but also in the behavior of the autonomous agents (AA) in the field of self-organized creation deposits. Indeed, for each agent, the individual discoveries (i.e. goals) have an effect on the performance of the population level and therefore they induce a new learning capability at the individual level. Particularly, we show through a set of experiments that adding a simple imitation capability to our bio-inspired architecture allows increasing the ability of agents to share more information and improving the overall performance of the whole system. We will conclude with robotics\u2019 experiments which will feature how our approach applies accurately to real life environments.", 
    "editor": [
      {
        "familyName": "Tan", 
        "givenName": "Ying", 
        "type": "Person"
      }, 
      {
        "familyName": "Shi", 
        "givenName": "Yuhui", 
        "type": "Person"
      }, 
      {
        "familyName": "Mo", 
        "givenName": "Hongwei", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-38715-9_6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-38714-2", 
        "978-3-642-38715-9"
      ], 
      "name": "Advances in Swarm Intelligence", 
      "type": "Book"
    }, 
    "name": "Learning by Imitation for the Improvement of the Individual and the Social Behaviors of Self-organized Autonomous Agents", 
    "pagination": "44-52", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-38715-9_6"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "fab6b5088aab8d80092a663248aae37966367fc5e72c47a2606b6458d2c621ca"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052634261"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-38715-9_6", 
      "https://app.dimensions.ai/details/publication/pub.1052634261"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T23:55", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8697_00000276.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-642-38715-9_6"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-38715-9_6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-38715-9_6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-38715-9_6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-38715-9_6'


 

This table displays all metadata directly associated to this object as RDF triples.

128 TRIPLES      23 PREDICATES      34 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-38715-9_6 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Nab243747e604415cb56ee12ad1c1b381
4 schema:citation sg:pub.10.1007/s004220100269
5 https://doi.org/10.1016/0736-5845(95)00004-6
6 https://doi.org/10.1016/j.brainresbull.2008.01.016
7 https://doi.org/10.1080/088395198117596
8 https://doi.org/10.1109/devlrn.2012.6400832
9 https://doi.org/10.1109/riiss.2011.5945791
10 https://doi.org/10.1109/robio.2012.6491173
11 schema:datePublished 2013
12 schema:datePublishedReg 2013-01-01
13 schema:description This paper shows that learning by imitation leads to a positive effect not only in human behavior but also in the behavior of the autonomous agents (AA) in the field of self-organized creation deposits. Indeed, for each agent, the individual discoveries (i.e. goals) have an effect on the performance of the population level and therefore they induce a new learning capability at the individual level. Particularly, we show through a set of experiments that adding a simple imitation capability to our bio-inspired architecture allows increasing the ability of agents to share more information and improving the overall performance of the whole system. We will conclude with robotics’ experiments which will feature how our approach applies accurately to real life environments.
14 schema:editor N413d2e70f8fb4754a635e35ae2d3020b
15 schema:genre chapter
16 schema:inLanguage en
17 schema:isAccessibleForFree false
18 schema:isPartOf N62849ce2c8014286b0a5e201eb938909
19 schema:name Learning by Imitation for the Improvement of the Individual and the Social Behaviors of Self-organized Autonomous Agents
20 schema:pagination 44-52
21 schema:productId N6825f635b4aa4f668930cf5198206d6c
22 Nce7284ef974e4f28b6a506ce6f7a6098
23 Nee22f36af9564bd1bcbec9d60ab3f982
24 schema:publisher Ncfdbe218bbdc47caa15f9ab04328fa40
25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052634261
26 https://doi.org/10.1007/978-3-642-38715-9_6
27 schema:sdDatePublished 2019-04-15T23:55
28 schema:sdLicense https://scigraph.springernature.com/explorer/license/
29 schema:sdPublisher Na2ff72ae3b6f4200a5cc51163072d35e
30 schema:url http://link.springer.com/10.1007/978-3-642-38715-9_6
31 sgo:license sg:explorer/license/
32 sgo:sdDataset chapters
33 rdf:type schema:Chapter
34 N413d2e70f8fb4754a635e35ae2d3020b rdf:first N5dcd8e45e6014a65af7b2e64ff4f9b11
35 rdf:rest Nda3c25380ba140bcaf6b05d67f814e76
36 N450d430b538745b5ae4eb42759278cc8 schema:familyName Shi
37 schema:givenName Yuhui
38 rdf:type schema:Person
39 N5dcd8e45e6014a65af7b2e64ff4f9b11 schema:familyName Tan
40 schema:givenName Ying
41 rdf:type schema:Person
42 N62849ce2c8014286b0a5e201eb938909 schema:isbn 978-3-642-38714-2
43 978-3-642-38715-9
44 schema:name Advances in Swarm Intelligence
45 rdf:type schema:Book
46 N6825f635b4aa4f668930cf5198206d6c schema:name dimensions_id
47 schema:value pub.1052634261
48 rdf:type schema:PropertyValue
49 N6e1a15a18381411cae68250e0f673f90 rdf:first sg:person.013511147671.97
50 rdf:rest N8ccd51a44db24a93b416f9496c6e6ccf
51 N8ab09e2a16a94bb4a43fe617bddd093e rdf:first Nebc5bab841174fd098df805d6dbe19db
52 rdf:rest rdf:nil
53 N8ccd51a44db24a93b416f9496c6e6ccf rdf:first sg:person.014560424266.28
54 rdf:rest rdf:nil
55 Na1fca7284d1d4cde8fd5194e0b264012 rdf:first sg:person.013324546562.32
56 rdf:rest N6e1a15a18381411cae68250e0f673f90
57 Na2ff72ae3b6f4200a5cc51163072d35e schema:name Springer Nature - SN SciGraph project
58 rdf:type schema:Organization
59 Nab243747e604415cb56ee12ad1c1b381 rdf:first sg:person.015134210712.64
60 rdf:rest Nfff0d0424b9b4c5b9cd104f9d3abb28f
61 Nce7284ef974e4f28b6a506ce6f7a6098 schema:name doi
62 schema:value 10.1007/978-3-642-38715-9_6
63 rdf:type schema:PropertyValue
64 Ncfdbe218bbdc47caa15f9ab04328fa40 schema:location Berlin, Heidelberg
65 schema:name Springer Berlin Heidelberg
66 rdf:type schema:Organisation
67 Nda3c25380ba140bcaf6b05d67f814e76 rdf:first N450d430b538745b5ae4eb42759278cc8
68 rdf:rest N8ab09e2a16a94bb4a43fe617bddd093e
69 Nebc5bab841174fd098df805d6dbe19db schema:familyName Mo
70 schema:givenName Hongwei
71 rdf:type schema:Person
72 Nee22f36af9564bd1bcbec9d60ab3f982 schema:name readcube_id
73 schema:value fab6b5088aab8d80092a663248aae37966367fc5e72c47a2606b6458d2c621ca
74 rdf:type schema:PropertyValue
75 Nfff0d0424b9b4c5b9cd104f9d3abb28f rdf:first sg:person.01041272554.05
76 rdf:rest Na1fca7284d1d4cde8fd5194e0b264012
77 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
78 schema:name Information and Computing Sciences
79 rdf:type schema:DefinedTerm
80 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
81 schema:name Artificial Intelligence and Image Processing
82 rdf:type schema:DefinedTerm
83 sg:person.01041272554.05 schema:affiliation https://www.grid.ac/institutes/grid.7901.f
84 schema:familyName Gaussier
85 schema:givenName Philippe
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041272554.05
87 rdf:type schema:Person
88 sg:person.013324546562.32 schema:affiliation https://www.grid.ac/institutes/grid.412124.0
89 schema:familyName Kallel
90 schema:givenName Ilhem
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013324546562.32
92 rdf:type schema:Person
93 sg:person.013511147671.97 schema:affiliation https://www.grid.ac/institutes/grid.7901.f
94 schema:familyName Laroque
95 schema:givenName Philippe
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013511147671.97
97 rdf:type schema:Person
98 sg:person.014560424266.28 schema:affiliation https://www.grid.ac/institutes/grid.412124.0
99 schema:familyName Alimi
100 schema:givenName Adel M.
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014560424266.28
102 rdf:type schema:Person
103 sg:person.015134210712.64 schema:affiliation https://www.grid.ac/institutes/grid.412124.0
104 schema:familyName Chatty
105 schema:givenName Abdelhak
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015134210712.64
107 rdf:type schema:Person
108 sg:pub.10.1007/s004220100269 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015097071
109 https://doi.org/10.1007/s004220100269
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/0736-5845(95)00004-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007197781
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/j.brainresbull.2008.01.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030335242
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1080/088395198117596 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009321480
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1109/devlrn.2012.6400832 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095455956
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1109/riiss.2011.5945791 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093722094
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1109/robio.2012.6491173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093253480
122 rdf:type schema:CreativeWork
123 https://www.grid.ac/institutes/grid.412124.0 schema:alternateName University of Sfax
124 schema:name REGIM: REsearch Groups on Intelligent Machine, National School of Engineers (ENIS), Sfax University, Sfax, Tunisia
125 rdf:type schema:Organization
126 https://www.grid.ac/institutes/grid.7901.f schema:alternateName Cergy-Pontoise University
127 schema:name ETIS: Neuro-cybernetic team, Image and signal Processing, National School of Electronics and Its Applications (ENSEA), Cergy-Pontoise University, Paris, France
128 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...