Estimates of the Group Intelligence of Robots in Robotic Systems View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Andrey E. Gorodetskiy , Irina L. Tarasova

ABSTRACT

Problem statement: the questions of group interaction of intelligent Electromechanical systems (SENS) in RoboTic Systems (RTS) play an important role in the analysis of RTS capabilities to perform certain tasks. The paper proposes a solution to the problems of group intelligence assessment based on the results of RTS test modeling. This issue occurs if necessary matching the best candidates to the group of RTS from the existing set of modules SEMS, for example, when you want to perform merge/split parts of RTS, the introduction of the group new robot or withdraw the existing or producing other transformation groups SEMS associated with the implementation of technological tasks. Purpose of research: proposed and implemented an approach to solving the problem of test modeling of a group of robots using the apparatus of fuzzy mathematical modeling. The coefficients of vector estimation of group intelligence are developed. As the components of vector estimation, the coefficient of intellectual abilities, the creativity coefficient and the coefficient of motivational inclusion of the j-th group of robots are proposed. Results: The structure of a mathematical model for testing a group of robots is developed, including dynamic models of both interacting robots and the environment. The formulas for computing the components of the vector estimation of the group intelligence of RTS are proposed. Practical significance: the proposed solution of RTS test modeling provides high functionality of models of robot groups, taking into account the SEMS ideology, allowing to perform group intelligence estimation by computer modeling taking into account the so-called “psychological” features of the group members. More... »

PAGES

161-169

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-99759-9_13

DOI

http://dx.doi.org/10.1007/978-3-319-99759-9_13

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107045977


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": "Institute of Problems of Mechanical Engineering", 
          "id": "https://www.grid.ac/institutes/grid.462405.1", 
          "name": [
            "Institute of Problems of Mechanical Engineering Russian Academy of Sciences"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gorodetskiy", 
        "givenName": "Andrey E.", 
        "id": "sg:person.07471547435.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07471547435.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saint Petersburg State Polytechnical University", 
          "id": "https://www.grid.ac/institutes/grid.32495.39", 
          "name": [
            "Institute of Problems of Mechanical Engineering Russian Academy of Sciences", 
            "Peter the Great St. Petersburg Polytechnic University"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tarasova", 
        "givenName": "Irina L.", 
        "id": "sg:person.014617472455.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014617472455.18"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0169-8141(01)00040-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016605635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/18811248.1996.9731872", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030906765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-27547-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052413006", 
          "https://doi.org/10.1007/978-3-319-27547-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-27547-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052413006", 
          "https://doi.org/10.1007/978-3-319-27547-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-53327-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084732183", 
          "https://doi.org/10.1007/978-3-319-53327-8"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019", 
    "datePublishedReg": "2019-01-01", 
    "description": "Problem statement: the questions of group interaction of intelligent Electromechanical systems (SENS) in RoboTic Systems (RTS) play an important role in the analysis of RTS capabilities to perform certain tasks. The paper proposes a solution to the problems of group intelligence assessment based on the results of RTS test modeling. This issue occurs if necessary matching the best candidates to the group of RTS from the existing set of modules SEMS, for example, when you want to perform merge/split parts of RTS, the introduction of the group new robot or withdraw the existing or producing other transformation groups SEMS associated with the implementation of technological tasks. Purpose of research: proposed and implemented an approach to solving the problem of test modeling of a group of robots using the apparatus of fuzzy mathematical modeling. The coefficients of vector estimation of group intelligence are developed. As the components of vector estimation, the coefficient of intellectual abilities, the creativity coefficient and the coefficient of motivational inclusion of the j-th group of robots are proposed. Results: The structure of a mathematical model for testing a group of robots is developed, including dynamic models of both interacting robots and the environment. The formulas for computing the components of the vector estimation of the group intelligence of RTS are proposed. Practical significance: the proposed solution of RTS test modeling provides high functionality of models of robot groups, taking into account the SEMS ideology, allowing to perform group intelligence estimation by computer modeling taking into account the so-called \u201cpsychological\u201d features of the group members.", 
    "editor": [
      {
        "familyName": "Gorodetskiy", 
        "givenName": "Andrey E.", 
        "type": "Person"
      }, 
      {
        "familyName": "Tarasova", 
        "givenName": "Irina L.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-99759-9_13", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6742633", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7597494", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": {
      "isbn": [
        "978-3-319-99758-2", 
        "978-3-319-99759-9"
      ], 
      "name": "Smart Electromechanical Systems", 
      "type": "Book"
    }, 
    "name": "Estimates of the Group Intelligence of Robots in Robotic Systems", 
    "pagination": "161-169", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-99759-9_13"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e01ed60f8c5d81a074c2b51212db1569a20788b6ceddd7f6f907a0dfc9627c96"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1107045977"
        ]
      }
    ], 
    "publisher": {
      "location": "Cham", 
      "name": "Springer International Publishing", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-99759-9_13", 
      "https://app.dimensions.ai/details/publication/pub.1107045977"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T01:28", 
    "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_8700_00000605.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-319-99759-9_13"
  }
]
 

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.10.1007/978-3-319-99759-9_13'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-99759-9_13'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-99759-9_13'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-99759-9_13'


 

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

99 TRIPLES      23 PREDICATES      31 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-99759-9_13 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Nc2bbc549cd3a4cbca2212ea98079dac9
4 schema:citation sg:pub.10.1007/978-3-319-27547-5
5 sg:pub.10.1007/978-3-319-53327-8
6 https://doi.org/10.1016/s0169-8141(01)00040-3
7 https://doi.org/10.1080/18811248.1996.9731872
8 schema:datePublished 2019
9 schema:datePublishedReg 2019-01-01
10 schema:description Problem statement: the questions of group interaction of intelligent Electromechanical systems (SENS) in RoboTic Systems (RTS) play an important role in the analysis of RTS capabilities to perform certain tasks. The paper proposes a solution to the problems of group intelligence assessment based on the results of RTS test modeling. This issue occurs if necessary matching the best candidates to the group of RTS from the existing set of modules SEMS, for example, when you want to perform merge/split parts of RTS, the introduction of the group new robot or withdraw the existing or producing other transformation groups SEMS associated with the implementation of technological tasks. Purpose of research: proposed and implemented an approach to solving the problem of test modeling of a group of robots using the apparatus of fuzzy mathematical modeling. The coefficients of vector estimation of group intelligence are developed. As the components of vector estimation, the coefficient of intellectual abilities, the creativity coefficient and the coefficient of motivational inclusion of the j-th group of robots are proposed. Results: The structure of a mathematical model for testing a group of robots is developed, including dynamic models of both interacting robots and the environment. The formulas for computing the components of the vector estimation of the group intelligence of RTS are proposed. Practical significance: the proposed solution of RTS test modeling provides high functionality of models of robot groups, taking into account the SEMS ideology, allowing to perform group intelligence estimation by computer modeling taking into account the so-called “psychological” features of the group members.
11 schema:editor Naf9628fd60bd434687e79848350b93d1
12 schema:genre chapter
13 schema:inLanguage en
14 schema:isAccessibleForFree false
15 schema:isPartOf N37aba2b4f4b34cba82848d05ed4eb286
16 schema:name Estimates of the Group Intelligence of Robots in Robotic Systems
17 schema:pagination 161-169
18 schema:productId N641548b6c985480b9ea71fe5c0b8f00e
19 N949076f223b84ce2a9a36bab2e9ec2b2
20 Nd0768e1d23b1458191757937f3e42406
21 schema:publisher N538cd5de18f14f92b2bdcf640762a675
22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107045977
23 https://doi.org/10.1007/978-3-319-99759-9_13
24 schema:sdDatePublished 2019-04-16T01:28
25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
26 schema:sdPublisher N15f06edfd9a34972b1a1a15323eb5da2
27 schema:url http://link.springer.com/10.1007/978-3-319-99759-9_13
28 sgo:license sg:explorer/license/
29 sgo:sdDataset chapters
30 rdf:type schema:Chapter
31 N0aafd34c436941df87c9c6035e9a2e8b rdf:first sg:person.014617472455.18
32 rdf:rest rdf:nil
33 N15f06edfd9a34972b1a1a15323eb5da2 schema:name Springer Nature - SN SciGraph project
34 rdf:type schema:Organization
35 N315b010ec0a94d8b9578da67ef854d16 rdf:first N62ec8057b5e445f2b7bcc93b0fec9edf
36 rdf:rest rdf:nil
37 N37aba2b4f4b34cba82848d05ed4eb286 schema:isbn 978-3-319-99758-2
38 978-3-319-99759-9
39 schema:name Smart Electromechanical Systems
40 rdf:type schema:Book
41 N538cd5de18f14f92b2bdcf640762a675 schema:location Cham
42 schema:name Springer International Publishing
43 rdf:type schema:Organisation
44 N62ec8057b5e445f2b7bcc93b0fec9edf schema:familyName Tarasova
45 schema:givenName Irina L.
46 rdf:type schema:Person
47 N641548b6c985480b9ea71fe5c0b8f00e schema:name readcube_id
48 schema:value e01ed60f8c5d81a074c2b51212db1569a20788b6ceddd7f6f907a0dfc9627c96
49 rdf:type schema:PropertyValue
50 N949076f223b84ce2a9a36bab2e9ec2b2 schema:name doi
51 schema:value 10.1007/978-3-319-99759-9_13
52 rdf:type schema:PropertyValue
53 Nae7b4d0066124b8687a66e486be58739 schema:familyName Gorodetskiy
54 schema:givenName Andrey E.
55 rdf:type schema:Person
56 Naf9628fd60bd434687e79848350b93d1 rdf:first Nae7b4d0066124b8687a66e486be58739
57 rdf:rest N315b010ec0a94d8b9578da67ef854d16
58 Nc2bbc549cd3a4cbca2212ea98079dac9 rdf:first sg:person.07471547435.88
59 rdf:rest N0aafd34c436941df87c9c6035e9a2e8b
60 Nd0768e1d23b1458191757937f3e42406 schema:name dimensions_id
61 schema:value pub.1107045977
62 rdf:type schema:PropertyValue
63 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
64 schema:name Information and Computing Sciences
65 rdf:type schema:DefinedTerm
66 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
67 schema:name Artificial Intelligence and Image Processing
68 rdf:type schema:DefinedTerm
69 sg:grant.6742633 http://pending.schema.org/fundedItem sg:pub.10.1007/978-3-319-99759-9_13
70 rdf:type schema:MonetaryGrant
71 sg:grant.7597494 http://pending.schema.org/fundedItem sg:pub.10.1007/978-3-319-99759-9_13
72 rdf:type schema:MonetaryGrant
73 sg:person.014617472455.18 schema:affiliation https://www.grid.ac/institutes/grid.32495.39
74 schema:familyName Tarasova
75 schema:givenName Irina L.
76 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014617472455.18
77 rdf:type schema:Person
78 sg:person.07471547435.88 schema:affiliation https://www.grid.ac/institutes/grid.462405.1
79 schema:familyName Gorodetskiy
80 schema:givenName Andrey E.
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07471547435.88
82 rdf:type schema:Person
83 sg:pub.10.1007/978-3-319-27547-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052413006
84 https://doi.org/10.1007/978-3-319-27547-5
85 rdf:type schema:CreativeWork
86 sg:pub.10.1007/978-3-319-53327-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084732183
87 https://doi.org/10.1007/978-3-319-53327-8
88 rdf:type schema:CreativeWork
89 https://doi.org/10.1016/s0169-8141(01)00040-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016605635
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1080/18811248.1996.9731872 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030906765
92 rdf:type schema:CreativeWork
93 https://www.grid.ac/institutes/grid.32495.39 schema:alternateName Saint Petersburg State Polytechnical University
94 schema:name Institute of Problems of Mechanical Engineering Russian Academy of Sciences
95 Peter the Great St. Petersburg Polytechnic University
96 rdf:type schema:Organization
97 https://www.grid.ac/institutes/grid.462405.1 schema:alternateName Institute of Problems of Mechanical Engineering
98 schema:name Institute of Problems of Mechanical Engineering Russian Academy of Sciences
99 rdf:type schema:Organization
 




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


...