Integrating generative growth and evolutionary computation for form exploration View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-06

AUTHORS

Una-May O’Reilly, Martin Hemberg

ABSTRACT

We present an algorithmic growth process that is an extension of Lindenmayer’s Map L-systems. This growth process relies upon a set of rewrite rules, a map axiom and a geometric interpreter which is integrated with a 3D simulated environment. The outcome of the growth process is a digital surface in 3D space which has “grown” within and in response to its environment. We have developed a complementary evolutionary algorithm that is able to take over the task of generating the rewrite rules set for a growth process. Using a quantitative multi-objective fitness function that evaluates a variety of surface properties, the integrated system (evolutionary algorithm and growth process) can explore and generate diverse and interesting surfaces with a resemblance of organic form. The algorithms have been implemented to create a design tool for architects called Genr8. More... »

PAGES

163-186

References to SciGraph publications

  • 2004. Extending Grammatical Evolution to Evolve Digital Surfaces with Genr8 in GENETIC PROGRAMMING
  • 2003-04-15. On the Development of Critics in Evolutionary Computation Artists in APPLICATIONS OF EVOLUTIONARY COMPUTING
  • 2004. Aesthetic Evolution of L-Systems Revisited in APPLICATIONS OF EVOLUTIONARY COMPUTING
  • 2002. MultiCAD-GA: A System for the Design of 3D Forms Based on Genetic Algorithms and Human Evaluation in METHODS AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE
  • 2006-03. Robustness: A Key to Evolutionary Design in BIOLOGICAL THEORY
  • 1979. Parallel generation of maps: Developmental systems for cell layers in GRAPH-GRAMMARS AND THEIR APPLICATION TO COMPUTER SCIENCE AND BIOLOGY
  • 1975. Pictorial and Formal Aspects of Shape and Shape Grammars in NONE
  • 2002-03. Evolutionary Design Systems and Generative Processes in APPLIED INTELLIGENCE
  • 2004. Morphogenic Evolutionary Design: Cellular Automata Representations in Topological Structural Design in ADAPTIVE COMPUTING IN DESIGN AND MANUFACTURE VI
  • 1987. An introduction to parallel map generating systems in GRAPH-GRAMMARS AND THEIR APPLICATION TO COMPUTER SCIENCE
  • 1994. Genetic L-System Programming in PARALLEL PROBLEM SOLVING FROM NATURE — PPSN III
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10710-007-9025-y

    DOI

    http://dx.doi.org/10.1007/s10710-007-9025-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1006154924


    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": "Massachusetts Institute of Technology", 
              "id": "https://www.grid.ac/institutes/grid.116068.8", 
              "name": [
                "Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "O\u2019Reilly", 
            "givenName": "Una-May", 
            "id": "sg:person.010661376235.91", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010661376235.91"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Imperial College London", 
              "id": "https://www.grid.ac/institutes/grid.7445.2", 
              "name": [
                "Department of Bioengineering, Imperial College London, Exhibition Road, SW7 2AZ, London, UK", 
                "Emergent Design and Technologies, Architectural Association, 36 Bedford Square, WC1B 3ES, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hemberg", 
            "givenName": "Martin", 
            "id": "sg:person.0777452173.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777452173.73"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1162/00240940252940559", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001131525"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0010-4485(00)00128-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001227898"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.261714399", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005532273"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-0-85729-338-1_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016454894", 
              "https://doi.org/10.1007/978-0-85729-338-1_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-0-85729-338-1_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016454894", 
              "https://doi.org/10.1007/978-0-85729-338-1_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-36605-9_51", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017089937", 
              "https://doi.org/10.1007/3-540-36605-9_51"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-36605-9_51", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017089937", 
              "https://doi.org/10.1007/3-540-36605-9_51"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-46014-4_19", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021396056", 
              "https://doi.org/10.1007/3-540-46014-4_19"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/359863.359883", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023393310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bfb0025728", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024088999", 
              "https://doi.org/10.1007/bfb0025728"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-58484-6_277", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031513335", 
              "https://doi.org/10.1007/3-540-58484-6_277"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-24653-4_49", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040894515", 
              "https://doi.org/10.1007/978-3-540-24653-4_49"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-24650-3_28", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041371596", 
              "https://doi.org/10.1007/978-3-540-24650-3_28"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-24650-3_28", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041371596", 
              "https://doi.org/10.1007/978-3-540-24650-3_28"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/03052150214016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042409653"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1113832", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042770829"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-18771-5_42", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043588203", 
              "https://doi.org/10.1007/3-540-18771-5_42"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-0348-6879-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048766506", 
              "https://doi.org/10.1007/978-3-0348-6879-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-0348-6879-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048766506", 
              "https://doi.org/10.1007/978-3-0348-6879-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1013618703385", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052746475", 
              "https://doi.org/10.1023/a:1013618703385"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/383259.383291", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053100975"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s089006040115506x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053822814"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/4235.942529", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061172092"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/4235.985691", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061172117"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/5.949485", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061180379"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1162/biot.2006.1.1.90", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063351109", 
              "https://doi.org/10.1162/biot.2006.1.1.90"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2007-06", 
        "datePublishedReg": "2007-06-01", 
        "description": "We present an algorithmic growth process that is an extension of Lindenmayer\u2019s Map L-systems. This growth process relies upon a set of rewrite rules, a map axiom and a geometric interpreter which is integrated with a 3D simulated environment. The outcome of the growth process is a digital surface in 3D space which has \u201cgrown\u201d within and in response to its environment. We have developed a complementary evolutionary algorithm that is able to take over the task of generating the rewrite rules set for a growth process. Using a quantitative multi-objective fitness function that evaluates a variety of surface properties, the integrated system (evolutionary algorithm and growth process) can explore and generate diverse and interesting surfaces with a resemblance of organic form. The algorithms have been implemented to create a design tool for architects called Genr8.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10710-007-9025-y", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1053156", 
            "issn": [
              "1389-2576", 
              "1573-7632"
            ], 
            "name": "Genetic Programming and Evolvable Machines", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "8"
          }
        ], 
        "name": "Integrating generative growth and evolutionary computation for form exploration", 
        "pagination": "163-186", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "1d51e0651eb698bfecfd978282be09ceae49b52ebbd1941dca6126b35e0bab25"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10710-007-9025-y"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1006154924"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10710-007-9025-y", 
          "https://app.dimensions.ai/details/publication/pub.1006154924"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T23:23", 
        "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/v90/0000000001_0000000264/records_8693_00000510.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs10710-007-9025-y"
      }
    ]
     

    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/s10710-007-9025-y'

    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/s10710-007-9025-y'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10710-007-9025-y'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10710-007-9025-y'


     

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

    149 TRIPLES      21 PREDICATES      49 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10710-007-9025-y schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author Nc45100385cb14ea48a8796f992832d03
    4 schema:citation sg:pub.10.1007/3-540-18771-5_42
    5 sg:pub.10.1007/3-540-36605-9_51
    6 sg:pub.10.1007/3-540-46014-4_19
    7 sg:pub.10.1007/3-540-58484-6_277
    8 sg:pub.10.1007/978-0-85729-338-1_3
    9 sg:pub.10.1007/978-3-0348-6879-2
    10 sg:pub.10.1007/978-3-540-24650-3_28
    11 sg:pub.10.1007/978-3-540-24653-4_49
    12 sg:pub.10.1007/bfb0025728
    13 sg:pub.10.1023/a:1013618703385
    14 sg:pub.10.1162/biot.2006.1.1.90
    15 https://doi.org/10.1016/s0010-4485(00)00128-7
    16 https://doi.org/10.1017/s089006040115506x
    17 https://doi.org/10.1073/pnas.261714399
    18 https://doi.org/10.1080/03052150214016
    19 https://doi.org/10.1109/4235.942529
    20 https://doi.org/10.1109/4235.985691
    21 https://doi.org/10.1109/5.949485
    22 https://doi.org/10.1126/science.1113832
    23 https://doi.org/10.1145/359863.359883
    24 https://doi.org/10.1145/383259.383291
    25 https://doi.org/10.1162/00240940252940559
    26 schema:datePublished 2007-06
    27 schema:datePublishedReg 2007-06-01
    28 schema:description We present an algorithmic growth process that is an extension of Lindenmayer’s Map L-systems. This growth process relies upon a set of rewrite rules, a map axiom and a geometric interpreter which is integrated with a 3D simulated environment. The outcome of the growth process is a digital surface in 3D space which has “grown” within and in response to its environment. We have developed a complementary evolutionary algorithm that is able to take over the task of generating the rewrite rules set for a growth process. Using a quantitative multi-objective fitness function that evaluates a variety of surface properties, the integrated system (evolutionary algorithm and growth process) can explore and generate diverse and interesting surfaces with a resemblance of organic form. The algorithms have been implemented to create a design tool for architects called Genr8.
    29 schema:genre research_article
    30 schema:inLanguage en
    31 schema:isAccessibleForFree false
    32 schema:isPartOf N08ade928b5dd44a09a63d15c6594dc33
    33 Necc78565c3304adc98b68d4bd567869a
    34 sg:journal.1053156
    35 schema:name Integrating generative growth and evolutionary computation for form exploration
    36 schema:pagination 163-186
    37 schema:productId N3d841a73df884fe8906429a14b1b25df
    38 Nc247301197194ed49e529b43f50924e7
    39 Nc33660ea0b094325b3a50a5b64c229a9
    40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006154924
    41 https://doi.org/10.1007/s10710-007-9025-y
    42 schema:sdDatePublished 2019-04-10T23:23
    43 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    44 schema:sdPublisher Na5328fae62ea46aab16da79b5b1d8ea0
    45 schema:url http://link.springer.com/10.1007%2Fs10710-007-9025-y
    46 sgo:license sg:explorer/license/
    47 sgo:sdDataset articles
    48 rdf:type schema:ScholarlyArticle
    49 N08ade928b5dd44a09a63d15c6594dc33 schema:volumeNumber 8
    50 rdf:type schema:PublicationVolume
    51 N3d841a73df884fe8906429a14b1b25df schema:name dimensions_id
    52 schema:value pub.1006154924
    53 rdf:type schema:PropertyValue
    54 Na5328fae62ea46aab16da79b5b1d8ea0 schema:name Springer Nature - SN SciGraph project
    55 rdf:type schema:Organization
    56 Nc247301197194ed49e529b43f50924e7 schema:name readcube_id
    57 schema:value 1d51e0651eb698bfecfd978282be09ceae49b52ebbd1941dca6126b35e0bab25
    58 rdf:type schema:PropertyValue
    59 Nc33660ea0b094325b3a50a5b64c229a9 schema:name doi
    60 schema:value 10.1007/s10710-007-9025-y
    61 rdf:type schema:PropertyValue
    62 Nc45100385cb14ea48a8796f992832d03 rdf:first sg:person.010661376235.91
    63 rdf:rest Neeadc087a2824d4192799aae6bc8a529
    64 Necc78565c3304adc98b68d4bd567869a schema:issueNumber 2
    65 rdf:type schema:PublicationIssue
    66 Neeadc087a2824d4192799aae6bc8a529 rdf:first sg:person.0777452173.73
    67 rdf:rest rdf:nil
    68 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    69 schema:name Information and Computing Sciences
    70 rdf:type schema:DefinedTerm
    71 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    72 schema:name Artificial Intelligence and Image Processing
    73 rdf:type schema:DefinedTerm
    74 sg:journal.1053156 schema:issn 1389-2576
    75 1573-7632
    76 schema:name Genetic Programming and Evolvable Machines
    77 rdf:type schema:Periodical
    78 sg:person.010661376235.91 schema:affiliation https://www.grid.ac/institutes/grid.116068.8
    79 schema:familyName O’Reilly
    80 schema:givenName Una-May
    81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010661376235.91
    82 rdf:type schema:Person
    83 sg:person.0777452173.73 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
    84 schema:familyName Hemberg
    85 schema:givenName Martin
    86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777452173.73
    87 rdf:type schema:Person
    88 sg:pub.10.1007/3-540-18771-5_42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043588203
    89 https://doi.org/10.1007/3-540-18771-5_42
    90 rdf:type schema:CreativeWork
    91 sg:pub.10.1007/3-540-36605-9_51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017089937
    92 https://doi.org/10.1007/3-540-36605-9_51
    93 rdf:type schema:CreativeWork
    94 sg:pub.10.1007/3-540-46014-4_19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021396056
    95 https://doi.org/10.1007/3-540-46014-4_19
    96 rdf:type schema:CreativeWork
    97 sg:pub.10.1007/3-540-58484-6_277 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031513335
    98 https://doi.org/10.1007/3-540-58484-6_277
    99 rdf:type schema:CreativeWork
    100 sg:pub.10.1007/978-0-85729-338-1_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016454894
    101 https://doi.org/10.1007/978-0-85729-338-1_3
    102 rdf:type schema:CreativeWork
    103 sg:pub.10.1007/978-3-0348-6879-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048766506
    104 https://doi.org/10.1007/978-3-0348-6879-2
    105 rdf:type schema:CreativeWork
    106 sg:pub.10.1007/978-3-540-24650-3_28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041371596
    107 https://doi.org/10.1007/978-3-540-24650-3_28
    108 rdf:type schema:CreativeWork
    109 sg:pub.10.1007/978-3-540-24653-4_49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040894515
    110 https://doi.org/10.1007/978-3-540-24653-4_49
    111 rdf:type schema:CreativeWork
    112 sg:pub.10.1007/bfb0025728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024088999
    113 https://doi.org/10.1007/bfb0025728
    114 rdf:type schema:CreativeWork
    115 sg:pub.10.1023/a:1013618703385 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052746475
    116 https://doi.org/10.1023/a:1013618703385
    117 rdf:type schema:CreativeWork
    118 sg:pub.10.1162/biot.2006.1.1.90 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063351109
    119 https://doi.org/10.1162/biot.2006.1.1.90
    120 rdf:type schema:CreativeWork
    121 https://doi.org/10.1016/s0010-4485(00)00128-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001227898
    122 rdf:type schema:CreativeWork
    123 https://doi.org/10.1017/s089006040115506x schema:sameAs https://app.dimensions.ai/details/publication/pub.1053822814
    124 rdf:type schema:CreativeWork
    125 https://doi.org/10.1073/pnas.261714399 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005532273
    126 rdf:type schema:CreativeWork
    127 https://doi.org/10.1080/03052150214016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042409653
    128 rdf:type schema:CreativeWork
    129 https://doi.org/10.1109/4235.942529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061172092
    130 rdf:type schema:CreativeWork
    131 https://doi.org/10.1109/4235.985691 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061172117
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1109/5.949485 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061180379
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1126/science.1113832 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042770829
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1145/359863.359883 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023393310
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1145/383259.383291 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053100975
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1162/00240940252940559 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001131525
    142 rdf:type schema:CreativeWork
    143 https://www.grid.ac/institutes/grid.116068.8 schema:alternateName Massachusetts Institute of Technology
    144 schema:name Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
    145 rdf:type schema:Organization
    146 https://www.grid.ac/institutes/grid.7445.2 schema:alternateName Imperial College London
    147 schema:name Department of Bioengineering, Imperial College London, Exhibition Road, SW7 2AZ, London, UK
    148 Emergent Design and Technologies, Architectural Association, 36 Bedford Square, WC1B 3ES, London, UK
    149 rdf:type schema:Organization
     




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


    ...