Modeling of automonous role taking mechanism in social scene View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2009-2014

FUNDING AMOUNT

69420000.0 JPY

ABSTRACT

In this study, for a purpose of computational modeling of cognitive communication, we constructed a behavior decision model that makes use of an estimated internal state of other. In our experiment, for a purpose of keeping an interest of child as long as possible, we made a robot to choose an action that elaborate the interest of the child based on the estimated mental state. We evaluated the effect of the model through a behavior experiment.Then, to enable a wider spread of child's characteristics, we tried a play experiment of a child with a nursery nurse operated robot. Through the experimental result, we constructed a communication model that includes both of an intelligent information processing and a modulation of reward through the interest state. More... »

URL

https://kaken.nii.ac.jp/grant/KAKENHI-PLANNED-21120010

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/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "amount": {
      "currency": "JPY", 
      "type": "MonetaryAmount", 
      "value": 69420000.0
    }, 
    "description": "In this study, for a purpose of computational modeling of cognitive communication, we constructed a behavior decision model that makes use of an estimated internal state of other. In our experiment, for a purpose of keeping an interest of child as long as possible, we made a robot to choose an action that elaborate the interest of the child based on the estimated mental state. We evaluated the effect of the model through a behavior experiment.Then, to enable a wider spread of child's characteristics, we tried a play experiment of a child with a nursery nurse operated robot. Through the experimental result, we constructed a communication model that includes both of an intelligent information processing and a modulation of reward through the interest state.", 
    "endDate": "2014-03-31", 
    "funder": {
      "id": "http://www.grid.ac/institutes/grid.54432.34", 
      "type": "Organization"
    }, 
    "id": "sg:grant.6014274", 
    "identifier": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "grant.6014274"
        ]
      }, 
      {
        "name": "kaken_id", 
        "type": "PropertyValue", 
        "value": [
          "21120010"
        ]
      }
    ], 
    "inLanguage": [
      "en"
    ], 
    "keywords": [
      "intelligent information processing", 
      "behavior decision model", 
      "communication model", 
      "cognitive communication", 
      "interest state", 
      "robot", 
      "experimental results", 
      "decision model", 
      "internal states", 
      "information processing", 
      "wide spread", 
      "scene", 
      "behavior experiments", 
      "computational modeling", 
      "communication", 
      "processing", 
      "model", 
      "experiments", 
      "social scenes", 
      "modeling", 
      "modulation of reward", 
      "interest", 
      "mental states", 
      "child characteristics", 
      "state", 
      "purpose", 
      "interests of children", 
      "nursery nurses", 
      "children", 
      "reward", 
      "use", 
      "characteristics", 
      "results", 
      "mechanism", 
      "action", 
      "spread", 
      "nurses", 
      "study", 
      "modulation", 
      "effect"
    ], 
    "name": "Modeling of automonous role taking mechanism in social scene", 
    "recipient": [
      {
        "id": "http://www.grid.ac/institutes/grid.412905.b", 
        "type": "Organization"
      }, 
      {
        "id": "http://www.grid.ac/institutes/grid.266298.1", 
        "type": "Organization"
      }, 
      {
        "id": "http://www.grid.ac/institutes/grid.27476.30", 
        "type": "Organization"
      }, 
      {
        "affiliation": {
          "id": "http://www.grid.ac/institutes/None", 
          "name": "\u7389\u5ddd\u5927\u5b66", 
          "type": "Organization"
        }, 
        "familyName": "OMORI", 
        "givenName": "Takashi", 
        "id": "sg:person.01263557346.07", 
        "type": "Person"
      }, 
      {
        "member": "sg:person.01263557346.07", 
        "roleName": "PI", 
        "type": "Role"
      }, 
      {
        "affiliation": {
          "id": "http://www.grid.ac/institutes/None", 
          "name": "\u96fb\u6c17\u901a\u4fe1\u5927\u5b66", 
          "type": "Organization"
        }, 
        "familyName": "NAGAI", 
        "givenName": "Takayuki", 
        "id": "sg:person.010572730431.02", 
        "type": "Person"
      }, 
      {
        "member": "sg:person.010572730431.02", 
        "roleName": "Co-PI", 
        "type": "Role"
      }, 
      {
        "affiliation": {
          "id": "http://www.grid.ac/institutes/None", 
          "name": "\u540d\u53e4\u5c4b\u5927\u5b66", 
          "type": "Organization"
        }, 
        "familyName": "ARITA", 
        "givenName": "Takaya", 
        "id": "sg:person.011242741061.85", 
        "type": "Person"
      }, 
      {
        "member": "sg:person.011242741061.85", 
        "roleName": "Co-PI", 
        "type": "Role"
      }, 
      {
        "affiliation": {
          "id": "http://www.grid.ac/institutes/None", 
          "name": "\u7389\u5ddd\u5927\u5b66", 
          "type": "Organization"
        }, 
        "familyName": "OKADA", 
        "givenName": "Hiroyuki", 
        "id": "sg:person.0747261673.93", 
        "type": "Person"
      }, 
      {
        "member": "sg:person.0747261673.93", 
        "roleName": "Co-PI", 
        "type": "Role"
      }
    ], 
    "sameAs": [
      "https://app.dimensions.ai/details/grant/grant.6014274"
    ], 
    "sdDataset": "grants", 
    "sdDatePublished": "2021-12-01T20:14", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/grant/grant_0.jsonl", 
    "startDate": "2009-07-23", 
    "type": "MonetaryGrant", 
    "url": "https://kaken.nii.ac.jp/grant/KAKENHI-PLANNED-21120010"
  }
]
 

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/grant.6014274'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/grant.6014274'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/grant.6014274'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/grant.6014274'


 

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

118 TRIPLES      19 PREDICATES      70 URIs      57 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:grant.6014274 schema:about anzsrc-for:08
2 schema:amount Ned02f0966be747e99ef85c595816d38b
3 schema:description In this study, for a purpose of computational modeling of cognitive communication, we constructed a behavior decision model that makes use of an estimated internal state of other. In our experiment, for a purpose of keeping an interest of child as long as possible, we made a robot to choose an action that elaborate the interest of the child based on the estimated mental state. We evaluated the effect of the model through a behavior experiment.Then, to enable a wider spread of child's characteristics, we tried a play experiment of a child with a nursery nurse operated robot. Through the experimental result, we constructed a communication model that includes both of an intelligent information processing and a modulation of reward through the interest state.
4 schema:endDate 2014-03-31
5 schema:funder grid-institutes:grid.54432.34
6 schema:identifier N090eb4b8d6954d5e9809e2d341686dbf
7 N249acb8ae97c4930a34a00b33acf2688
8 schema:inLanguage en
9 schema:keywords action
10 behavior decision model
11 behavior experiments
12 characteristics
13 child characteristics
14 children
15 cognitive communication
16 communication
17 communication model
18 computational modeling
19 decision model
20 effect
21 experimental results
22 experiments
23 information processing
24 intelligent information processing
25 interest
26 interest state
27 interests of children
28 internal states
29 mechanism
30 mental states
31 model
32 modeling
33 modulation
34 modulation of reward
35 nursery nurses
36 nurses
37 processing
38 purpose
39 results
40 reward
41 robot
42 scene
43 social scenes
44 spread
45 state
46 study
47 use
48 wide spread
49 schema:name Modeling of automonous role taking mechanism in social scene
50 schema:recipient N7d1f1c80db05418182747f6753abe63f
51 Ncd08de372a144c7c920d33adb46777a2
52 Ne9bce6099ba54980b50329bb279947c7
53 Nf982f19b4e7a42538e9016a13d60bfbf
54 sg:person.010572730431.02
55 sg:person.011242741061.85
56 sg:person.01263557346.07
57 sg:person.0747261673.93
58 grid-institutes:grid.266298.1
59 grid-institutes:grid.27476.30
60 grid-institutes:grid.412905.b
61 schema:sameAs https://app.dimensions.ai/details/grant/grant.6014274
62 schema:sdDatePublished 2021-12-01T20:14
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher N8b78273080bf4e7f83474afeee1f0e57
65 schema:startDate 2009-07-23
66 schema:url https://kaken.nii.ac.jp/grant/KAKENHI-PLANNED-21120010
67 sgo:license sg:explorer/license/
68 sgo:sdDataset grants
69 rdf:type schema:MonetaryGrant
70 N090eb4b8d6954d5e9809e2d341686dbf schema:name kaken_id
71 schema:value 21120010
72 rdf:type schema:PropertyValue
73 N249acb8ae97c4930a34a00b33acf2688 schema:name dimensions_id
74 schema:value grant.6014274
75 rdf:type schema:PropertyValue
76 N7d1f1c80db05418182747f6753abe63f schema:member sg:person.01263557346.07
77 schema:roleName PI
78 rdf:type schema:Role
79 N8b78273080bf4e7f83474afeee1f0e57 schema:name Springer Nature - SN SciGraph project
80 rdf:type schema:Organization
81 Ncd08de372a144c7c920d33adb46777a2 schema:member sg:person.010572730431.02
82 schema:roleName Co-PI
83 rdf:type schema:Role
84 Ne9bce6099ba54980b50329bb279947c7 schema:member sg:person.0747261673.93
85 schema:roleName Co-PI
86 rdf:type schema:Role
87 Ned02f0966be747e99ef85c595816d38b schema:currency JPY
88 schema:value 69420000.0
89 rdf:type schema:MonetaryAmount
90 Nf982f19b4e7a42538e9016a13d60bfbf schema:member sg:person.011242741061.85
91 schema:roleName Co-PI
92 rdf:type schema:Role
93 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
94 rdf:type schema:DefinedTerm
95 sg:person.010572730431.02 schema:affiliation grid-institutes:None
96 schema:familyName NAGAI
97 schema:givenName Takayuki
98 rdf:type schema:Person
99 sg:person.011242741061.85 schema:affiliation grid-institutes:None
100 schema:familyName ARITA
101 schema:givenName Takaya
102 rdf:type schema:Person
103 sg:person.01263557346.07 schema:affiliation grid-institutes:None
104 schema:familyName OMORI
105 schema:givenName Takashi
106 rdf:type schema:Person
107 sg:person.0747261673.93 schema:affiliation grid-institutes:None
108 schema:familyName OKADA
109 schema:givenName Hiroyuki
110 rdf:type schema:Person
111 grid-institutes:None schema:name 名古屋大学
112 玉川大学
113 電気通信大学
114 rdf:type schema:Organization
115 grid-institutes:grid.266298.1 schema:Organization
116 grid-institutes:grid.27476.30 schema:Organization
117 grid-institutes:grid.412905.b schema:Organization
118 grid-institutes:grid.54432.34 schema:Organization
 




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


...