Multi-agent Based Simulation: Where Are the Agents? View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2003-04-15

AUTHORS

Alexis Drogoul , Diane Vanbergue , Thomas Meurisse

ABSTRACT

This paper is devoted to exploring the relationships between computational agents, as they can be found in multi-agent systems (MAS) or Distributed Artificial Intelligence (DAI), and the different techniques regrouped under the generic name “multi-agent based simulation” (MABS). Its main purpose is to show that MABS, despite its name, is in fact rarely based on computational agents. We base our demonstration on an innovative presentation of the methodological process used in the development of current MABS systems. This presentation relies on the definition of the different roles involved in the design process, and we are able to show that the notion of “agent”, although shared at a conceptual level by the different participants, does not imply a systematic use of computational agents in the systems deployed. We then conclude by discussing what the use of computational agents, based on the most interesting research trends in DAI or MAS, might provide MABS with. More... »

PAGES

1-15

References to SciGraph publications

  • 1997. Advancing the Art of Simulation in the Social Sciences in SIMULATING SOCIAL PHENOMENA
  • 1997. Social Science Simulation — Origins, Prospects, Purposes in SIMULATING SOCIAL PHENOMENA
  • 1995. Elements of a theory of simulation in ADVANCES IN ARTIFICIAL LIFE
  • 1997. Can Agents Cover All the World? in SIMULATING SOCIAL PHENOMENA
  • 1997-01. "Go to the ant": Engineering principles from natural multi-agent systems in ANNALS OF OPERATIONS RESEARCH
  • 2001. Communication and Self-Organisation in Complex Systems: A Basic Approach in KNOWLEDGE, COMPLEXITY AND INNOVATION SYSTEMS
  • 1998. Multi-agent Architecture Integrating Heterogeneous Models of Dynamical Processes: The Representation of Time in MULTI-AGENT SYSTEMS AND AGENT-BASED SIMULATION
  • 1998. When Agents Emerge from Agents: Introducing Multi-scale Viewpoints in Multi-agent Simulations in MULTI-AGENT SYSTEMS AND AGENT-BASED SIMULATION
  • 2002-06-11. The Use of Models - Making MABS More Informative in MULTI-AGENT-BASED SIMULATION
  • 2002-06-11. Effects of Interaction Topology and Activation Regime in Several Multi-Agent Systems in MULTI-AGENT-BASED SIMULATION
  • Book

    TITLE

    Multi-Agent-Based Simulation II

    ISBN

    978-3-540-00607-7
    978-3-540-36483-2

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/3-540-36483-8_1

    DOI

    http://dx.doi.org/10.1007/3-540-36483-8_1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1040473225


    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": {
              "name": [
                "LIP6, Universit\u00e9 Paris 6, 4 Place Jussieu, 75252, PARIS CEDEX 05"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Drogoul", 
            "givenName": "Alexis", 
            "id": "sg:person.013046461323.11", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013046461323.11"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "LIP6, Universit\u00e9 Paris 6, 4 Place Jussieu, 75252, PARIS CEDEX 05"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vanbergue", 
            "givenName": "Diane", 
            "id": "sg:person.011022413232.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011022413232.03"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "LIP6, Universit\u00e9 Paris 6, 4 Place Jussieu, 75252, PARIS CEDEX 05"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Meurisse", 
            "givenName": "Thomas", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s0004-3702(99)00107-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007552506"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-44561-7_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009987577", 
              "https://doi.org/10.1007/3-540-44561-7_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-44561-7_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009987577", 
              "https://doi.org/10.1007/3-540-44561-7_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/544741.544842", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014246756"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.90.16.7716", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014474872"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-44561-7_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016021314", 
              "https://doi.org/10.1007/3-540-44561-7_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-44561-7_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016021314", 
              "https://doi.org/10.1007/3-540-44561-7_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-59496-5_322", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020818461", 
              "https://doi.org/10.1007/3-540-59496-5_322"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-662-03366-1_4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024479411", 
              "https://doi.org/10.1007/978-3-662-03366-1_4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1018980001403", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024631407", 
              "https://doi.org/10.1023/a:1018980001403"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-662-04546-6_14", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025112983", 
              "https://doi.org/10.1007/978-3-662-04546-6_14"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0921-8890(95)00054-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030224728"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/544741.544787", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030425058"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-662-03366-1_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031081438", 
              "https://doi.org/10.1007/978-3-662-03366-1_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/10692956_13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033482445", 
              "https://doi.org/10.1007/10692956_13"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/10692956_13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033482445", 
              "https://doi.org/10.1007/10692956_13"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-662-03366-1_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051047846", 
              "https://doi.org/10.1007/978-3-662-03366-1_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/10692956_16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051118862", 
              "https://doi.org/10.1007/10692956_16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/10692956_16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051118862", 
              "https://doi.org/10.1007/10692956_16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1075/eoc.4.1.03ste", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058224150"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/45.481372", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061175053"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/71.210814", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061217147"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1142/s0219525900000108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062998112"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/1389267", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069467185"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/1389267", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069467185"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/1928528", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069653385"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5153/sro.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072639458"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5153/sro.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072639458"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/fscs.1990.89601", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086357750"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1110619318", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2003-04-15", 
        "datePublishedReg": "2003-04-15", 
        "description": "This paper is devoted to exploring the relationships between computational agents, as they can be found in multi-agent systems (MAS) or Distributed Artificial Intelligence (DAI), and the different techniques regrouped under the generic name \u201cmulti-agent based simulation\u201d (MABS). Its main purpose is to show that MABS, despite its name, is in fact rarely based on computational agents. We base our demonstration on an innovative presentation of the methodological process used in the development of current MABS systems. This presentation relies on the definition of the different roles involved in the design process, and we are able to show that the notion of \u201cagent\u201d, although shared at a conceptual level by the different participants, does not imply a systematic use of computational agents in the systems deployed. We then conclude by discussing what the use of computational agents, based on the most interesting research trends in DAI or MAS, might provide MABS with.", 
        "editor": [
          {
            "familyName": "Sim\u00e3o Sichman", 
            "givenName": "Jaime", 
            "type": "Person"
          }, 
          {
            "familyName": "Bousquet", 
            "givenName": "Fran\u00e7cois", 
            "type": "Person"
          }, 
          {
            "familyName": "Davidsson", 
            "givenName": "Paul", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/3-540-36483-8_1", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-540-00607-7", 
            "978-3-540-36483-2"
          ], 
          "name": "Multi-Agent-Based Simulation II", 
          "type": "Book"
        }, 
        "name": "Multi-agent Based Simulation: Where Are the Agents?", 
        "pagination": "1-15", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/3-540-36483-8_1"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "c0cc43aec25074c31d5391bbb75f10d31f3f35116e85e3f9e71a4fc6fb1364b9"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1040473225"
            ]
          }
        ], 
        "publisher": {
          "location": "Berlin, Heidelberg", 
          "name": "Springer Berlin Heidelberg", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/3-540-36483-8_1", 
          "https://app.dimensions.ai/details/publication/pub.1040473225"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-16T05:23", 
        "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/v90/0000000345_0000000345/records_64081_00000001.jsonl", 
        "type": "Chapter", 
        "url": "https://link.springer.com/10.1007%2F3-540-36483-8_1"
      }
    ]
     

    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.10.1007/3-540-36483-8_1'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/3-540-36483-8_1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/3-540-36483-8_1'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/3-540-36483-8_1'


     

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

    172 TRIPLES      23 PREDICATES      50 URIs      19 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/3-540-36483-8_1 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author N884de4ef798d4ac6bf0618703b5b235f
    4 schema:citation sg:pub.10.1007/10692956_13
    5 sg:pub.10.1007/10692956_16
    6 sg:pub.10.1007/3-540-44561-7_2
    7 sg:pub.10.1007/3-540-44561-7_3
    8 sg:pub.10.1007/3-540-59496-5_322
    9 sg:pub.10.1007/978-3-662-03366-1_2
    10 sg:pub.10.1007/978-3-662-03366-1_3
    11 sg:pub.10.1007/978-3-662-03366-1_4
    12 sg:pub.10.1007/978-3-662-04546-6_14
    13 sg:pub.10.1023/a:1018980001403
    14 https://app.dimensions.ai/details/publication/pub.1110619318
    15 https://doi.org/10.1016/0921-8890(95)00054-2
    16 https://doi.org/10.1016/s0004-3702(99)00107-1
    17 https://doi.org/10.1073/pnas.90.16.7716
    18 https://doi.org/10.1075/eoc.4.1.03ste
    19 https://doi.org/10.1109/45.481372
    20 https://doi.org/10.1109/71.210814
    21 https://doi.org/10.1109/fscs.1990.89601
    22 https://doi.org/10.1142/s0219525900000108
    23 https://doi.org/10.1145/544741.544787
    24 https://doi.org/10.1145/544741.544842
    25 https://doi.org/10.2307/1389267
    26 https://doi.org/10.2307/1928528
    27 https://doi.org/10.5153/sro.108
    28 schema:datePublished 2003-04-15
    29 schema:datePublishedReg 2003-04-15
    30 schema:description This paper is devoted to exploring the relationships between computational agents, as they can be found in multi-agent systems (MAS) or Distributed Artificial Intelligence (DAI), and the different techniques regrouped under the generic name “multi-agent based simulation” (MABS). Its main purpose is to show that MABS, despite its name, is in fact rarely based on computational agents. We base our demonstration on an innovative presentation of the methodological process used in the development of current MABS systems. This presentation relies on the definition of the different roles involved in the design process, and we are able to show that the notion of “agent”, although shared at a conceptual level by the different participants, does not imply a systematic use of computational agents in the systems deployed. We then conclude by discussing what the use of computational agents, based on the most interesting research trends in DAI or MAS, might provide MABS with.
    31 schema:editor Nc70e980e0a4c458688e58afe7addae63
    32 schema:genre chapter
    33 schema:inLanguage en
    34 schema:isAccessibleForFree false
    35 schema:isPartOf N084bb63ef1624d96a47c39709a5a76e9
    36 schema:name Multi-agent Based Simulation: Where Are the Agents?
    37 schema:pagination 1-15
    38 schema:productId N44227be68d7340d4b332764973ff66b1
    39 N478073e5b0a046828b5f5709e2d2b87e
    40 Naf4cb467cdc244b08ba7677feb82db10
    41 schema:publisher Nc0ea63db61464fb99de1d547a035cfb5
    42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040473225
    43 https://doi.org/10.1007/3-540-36483-8_1
    44 schema:sdDatePublished 2019-04-16T05:23
    45 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    46 schema:sdPublisher N8ff57904515e47dd9c1e5f539ea7324e
    47 schema:url https://link.springer.com/10.1007%2F3-540-36483-8_1
    48 sgo:license sg:explorer/license/
    49 sgo:sdDataset chapters
    50 rdf:type schema:Chapter
    51 N07f6d347f38f48ad96f5fb7d84f1adf3 rdf:first Naba18b08c70b4b588f117d9f4be3abd1
    52 rdf:rest rdf:nil
    53 N084bb63ef1624d96a47c39709a5a76e9 schema:isbn 978-3-540-00607-7
    54 978-3-540-36483-2
    55 schema:name Multi-Agent-Based Simulation II
    56 rdf:type schema:Book
    57 N347ce5cc2cec4725ab9320d7b7ea2a7e rdf:first Nca04737b1f5f498598a356c181b67e9d
    58 rdf:rest rdf:nil
    59 N42399b4937434de3b45438ce776068b4 rdf:first sg:person.011022413232.03
    60 rdf:rest N07f6d347f38f48ad96f5fb7d84f1adf3
    61 N44227be68d7340d4b332764973ff66b1 schema:name doi
    62 schema:value 10.1007/3-540-36483-8_1
    63 rdf:type schema:PropertyValue
    64 N478073e5b0a046828b5f5709e2d2b87e schema:name dimensions_id
    65 schema:value pub.1040473225
    66 rdf:type schema:PropertyValue
    67 N67c9a2de24fb45cf99649cde21912f1e schema:familyName Bousquet
    68 schema:givenName Françcois
    69 rdf:type schema:Person
    70 N7de390bade1a4dceb07eb5348ffce710 schema:name LIP6, Université Paris 6, 4 Place Jussieu, 75252, PARIS CEDEX 05
    71 rdf:type schema:Organization
    72 N884de4ef798d4ac6bf0618703b5b235f rdf:first sg:person.013046461323.11
    73 rdf:rest N42399b4937434de3b45438ce776068b4
    74 N8ec11044d077445f9f51e6177f2a1105 schema:name LIP6, Université Paris 6, 4 Place Jussieu, 75252, PARIS CEDEX 05
    75 rdf:type schema:Organization
    76 N8ff57904515e47dd9c1e5f539ea7324e schema:name Springer Nature - SN SciGraph project
    77 rdf:type schema:Organization
    78 Naba18b08c70b4b588f117d9f4be3abd1 schema:affiliation N7de390bade1a4dceb07eb5348ffce710
    79 schema:familyName Meurisse
    80 schema:givenName Thomas
    81 rdf:type schema:Person
    82 Naf4cb467cdc244b08ba7677feb82db10 schema:name readcube_id
    83 schema:value c0cc43aec25074c31d5391bbb75f10d31f3f35116e85e3f9e71a4fc6fb1364b9
    84 rdf:type schema:PropertyValue
    85 Nc0ea63db61464fb99de1d547a035cfb5 schema:location Berlin, Heidelberg
    86 schema:name Springer Berlin Heidelberg
    87 rdf:type schema:Organisation
    88 Nc70e980e0a4c458688e58afe7addae63 rdf:first Ne8f71b9156494f1ba590e60fda05f149
    89 rdf:rest Nd2b9d0c18ed14b4fa29950a2fd5a198e
    90 Nca04737b1f5f498598a356c181b67e9d schema:familyName Davidsson
    91 schema:givenName Paul
    92 rdf:type schema:Person
    93 Nd2b9d0c18ed14b4fa29950a2fd5a198e rdf:first N67c9a2de24fb45cf99649cde21912f1e
    94 rdf:rest N347ce5cc2cec4725ab9320d7b7ea2a7e
    95 Ne8f71b9156494f1ba590e60fda05f149 schema:familyName Simão Sichman
    96 schema:givenName Jaime
    97 rdf:type schema:Person
    98 Nffc07690715c4dfb887b65a65e5be321 schema:name LIP6, Université Paris 6, 4 Place Jussieu, 75252, PARIS CEDEX 05
    99 rdf:type schema:Organization
    100 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    101 schema:name Information and Computing Sciences
    102 rdf:type schema:DefinedTerm
    103 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    104 schema:name Artificial Intelligence and Image Processing
    105 rdf:type schema:DefinedTerm
    106 sg:person.011022413232.03 schema:affiliation N8ec11044d077445f9f51e6177f2a1105
    107 schema:familyName Vanbergue
    108 schema:givenName Diane
    109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011022413232.03
    110 rdf:type schema:Person
    111 sg:person.013046461323.11 schema:affiliation Nffc07690715c4dfb887b65a65e5be321
    112 schema:familyName Drogoul
    113 schema:givenName Alexis
    114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013046461323.11
    115 rdf:type schema:Person
    116 sg:pub.10.1007/10692956_13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033482445
    117 https://doi.org/10.1007/10692956_13
    118 rdf:type schema:CreativeWork
    119 sg:pub.10.1007/10692956_16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051118862
    120 https://doi.org/10.1007/10692956_16
    121 rdf:type schema:CreativeWork
    122 sg:pub.10.1007/3-540-44561-7_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016021314
    123 https://doi.org/10.1007/3-540-44561-7_2
    124 rdf:type schema:CreativeWork
    125 sg:pub.10.1007/3-540-44561-7_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009987577
    126 https://doi.org/10.1007/3-540-44561-7_3
    127 rdf:type schema:CreativeWork
    128 sg:pub.10.1007/3-540-59496-5_322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020818461
    129 https://doi.org/10.1007/3-540-59496-5_322
    130 rdf:type schema:CreativeWork
    131 sg:pub.10.1007/978-3-662-03366-1_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031081438
    132 https://doi.org/10.1007/978-3-662-03366-1_2
    133 rdf:type schema:CreativeWork
    134 sg:pub.10.1007/978-3-662-03366-1_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051047846
    135 https://doi.org/10.1007/978-3-662-03366-1_3
    136 rdf:type schema:CreativeWork
    137 sg:pub.10.1007/978-3-662-03366-1_4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024479411
    138 https://doi.org/10.1007/978-3-662-03366-1_4
    139 rdf:type schema:CreativeWork
    140 sg:pub.10.1007/978-3-662-04546-6_14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025112983
    141 https://doi.org/10.1007/978-3-662-04546-6_14
    142 rdf:type schema:CreativeWork
    143 sg:pub.10.1023/a:1018980001403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024631407
    144 https://doi.org/10.1023/a:1018980001403
    145 rdf:type schema:CreativeWork
    146 https://app.dimensions.ai/details/publication/pub.1110619318 schema:CreativeWork
    147 https://doi.org/10.1016/0921-8890(95)00054-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030224728
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.1016/s0004-3702(99)00107-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007552506
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.1073/pnas.90.16.7716 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014474872
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.1075/eoc.4.1.03ste schema:sameAs https://app.dimensions.ai/details/publication/pub.1058224150
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.1109/45.481372 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061175053
    156 rdf:type schema:CreativeWork
    157 https://doi.org/10.1109/71.210814 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061217147
    158 rdf:type schema:CreativeWork
    159 https://doi.org/10.1109/fscs.1990.89601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086357750
    160 rdf:type schema:CreativeWork
    161 https://doi.org/10.1142/s0219525900000108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062998112
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1145/544741.544787 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030425058
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1145/544741.544842 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014246756
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.2307/1389267 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069467185
    168 rdf:type schema:CreativeWork
    169 https://doi.org/10.2307/1928528 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069653385
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.5153/sro.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072639458
    172 rdf:type schema:CreativeWork
     




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


    ...