Searle's abstract argument against strong AI View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1996-09

AUTHORS

Andrew Melnyk

ABSTRACT

Discussion of Searle's case against strong AI has usually focused upon his Chinese Room thought-experiment. In this paper, however, I expound and then try to refute what I call his abstract argument against strong AI, an argument which turns upon quite general considerations concerning programs, syntax, and semantics, and which seems not to depend on intuitions about the Chinese Room. I claim that this argument fails, since it assumes one particular account of what a program is. I suggest an alternative account which, however, cannot play a role in a Searle-type argument, and argue that Searle gives no good reason for favoring his account, which allows the abstract argument to work, over the alternative, which doesn't. This response to Searle's abstract argument also, incidentally, enables the Robot Reply to the Chinese Room to defend itself against objections Searle makes to it. More... »

PAGES

391-419

References to SciGraph publications

  • 1992. What Robots Can and Can’t Be in NONE
  • 1988. Syntactic Semantics: Foundations of Computational Natural-Language Understanding in ASPECTS OF ARTIFICIAL INTELLIGENCE
  • 1991-09. Artificial intelligence and personal identity in SYNTHESE
  • 1984-05. Thought and thought experiments in PHILOSOPHICAL STUDIES
  • 1986-09. What's really going on in Searle's “Chinese room” in PHILOSOPHICAL STUDIES
  • 1987-03. The right stuff in SYNTHESE
  • Journal

    TITLE

    Synthese

    ISSUE

    3

    VOLUME

    108

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bf00413696

    DOI

    http://dx.doi.org/10.1007/bf00413696

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1028631703


    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/2008/2203", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Philosophy", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/22", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Philosophy and Religious Studies", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Missouri", 
              "id": "https://www.grid.ac/institutes/grid.134936.a", 
              "name": [
                "Department of Philosophy 438 General Classroom Building, University of Missouri \u2014 Columbia, 65211, Columbia, MO, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Melnyk", 
            "givenName": "Andrew", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf00414155", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001793498", 
              "https://doi.org/10.1007/bf00414155"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00414155", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001793498", 
              "https://doi.org/10.1007/bf00414155"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00355448", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012699327", 
              "https://doi.org/10.1007/bf00355448"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00355448", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012699327", 
              "https://doi.org/10.1007/bf00355448"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00413555", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013061991", 
              "https://doi.org/10.1007/bf00413555"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00413555", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013061991", 
              "https://doi.org/10.1007/bf00413555"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0140525x00005756", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016931045"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0140525x00005756", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016931045"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0140525x00005756", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016931045"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/mind/lix.236.433", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027055246"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1112/plms/s2-42.1.230", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032985688"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-011-2464-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038601396", 
              "https://doi.org/10.1007/978-94-011-2464-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-011-2464-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038601396", 
              "https://doi.org/10.1007/978-94-011-2464-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-009-2699-8_4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050270962", 
              "https://doi.org/10.1007/978-94-009-2699-8_4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-94-009-2699-8_4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050270962", 
              "https://doi.org/10.1007/978-94-009-2699-8_4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00354586", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053679889", 
              "https://doi.org/10.1007/bf00354586"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00354586", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053679889", 
              "https://doi.org/10.1007/bf00354586"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/289312", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058599355"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/mind/xcvii.387.381", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059886908"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/2215459", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069831461"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4159/harvard.9780674594623.c17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1087875767"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2307/3130074", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1102603220"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "1996-09", 
        "datePublishedReg": "1996-09-01", 
        "description": "Discussion of Searle's case against strong AI has usually focused upon his Chinese Room thought-experiment. In this paper, however, I expound and then try to refute what I call his abstract argument against strong AI, an argument which turns upon quite general considerations concerning programs, syntax, and semantics, and which seems not to depend on intuitions about the Chinese Room. I claim that this argument fails, since it assumes one particular account of what a program is. I suggest an alternative account which, however, cannot play a role in a Searle-type argument, and argue that Searle gives no good reason for favoring his account, which allows the abstract argument to work, over the alternative, which doesn't. This response to Searle's abstract argument also, incidentally, enables the Robot Reply to the Chinese Room to defend itself against objections Searle makes to it.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/bf00413696", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1284232", 
            "issn": [
              "0039-7857", 
              "1573-0964"
            ], 
            "name": "Synthese", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "108"
          }
        ], 
        "name": "Searle's abstract argument against strong AI", 
        "pagination": "391-419", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/bf00413696"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "886471949face5d0a985f5a1d88f2b6f918f4e25ab2e5db5d96254a0bff85817"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1028631703"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/bf00413696", 
          "https://app.dimensions.ai/details/publication/pub.1028631703"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-15T08:47", 
        "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/v90/0000000374_0000000374/records_119713_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/BF00413696"
      }
    ]
     

    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/bf00413696'

    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/bf00413696'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00413696'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00413696'


     

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

    108 TRIPLES      21 PREDICATES      41 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/bf00413696 schema:about anzsrc-for:22
    2 anzsrc-for:2203
    3 schema:author N395364b11d2a4c2984be75fde8f0c7d2
    4 schema:citation sg:pub.10.1007/978-94-009-2699-8_4
    5 sg:pub.10.1007/978-94-011-2464-5
    6 sg:pub.10.1007/bf00354586
    7 sg:pub.10.1007/bf00355448
    8 sg:pub.10.1007/bf00413555
    9 sg:pub.10.1007/bf00414155
    10 https://doi.org/10.1017/s0140525x00005756
    11 https://doi.org/10.1086/289312
    12 https://doi.org/10.1093/mind/lix.236.433
    13 https://doi.org/10.1093/mind/xcvii.387.381
    14 https://doi.org/10.1112/plms/s2-42.1.230
    15 https://doi.org/10.2307/2215459
    16 https://doi.org/10.2307/3130074
    17 https://doi.org/10.4159/harvard.9780674594623.c17
    18 schema:datePublished 1996-09
    19 schema:datePublishedReg 1996-09-01
    20 schema:description Discussion of Searle's case against strong AI has usually focused upon his Chinese Room thought-experiment. In this paper, however, I expound and then try to refute what I call his abstract argument against strong AI, an argument which turns upon quite general considerations concerning programs, syntax, and semantics, and which seems not to depend on intuitions about the Chinese Room. I claim that this argument fails, since it assumes one particular account of what a program is. I suggest an alternative account which, however, cannot play a role in a Searle-type argument, and argue that Searle gives no good reason for favoring his account, which allows the abstract argument to work, over the alternative, which doesn't. This response to Searle's abstract argument also, incidentally, enables the Robot Reply to the Chinese Room to defend itself against objections Searle makes to it.
    21 schema:genre research_article
    22 schema:inLanguage en
    23 schema:isAccessibleForFree false
    24 schema:isPartOf N98c34194f32947d4ac33397f953fb84b
    25 Ncfd1da8439814497b2b2ebed771d0705
    26 sg:journal.1284232
    27 schema:name Searle's abstract argument against strong AI
    28 schema:pagination 391-419
    29 schema:productId N2dafcff92b6f412dba910ed8e1a6b6ea
    30 Nbcb3a5ae7e0d43bba4a300f32fd5bd19
    31 Nefe682e735524f1fb105d69d4f09b12d
    32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028631703
    33 https://doi.org/10.1007/bf00413696
    34 schema:sdDatePublished 2019-04-15T08:47
    35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    36 schema:sdPublisher Nf670bc99588f43fa866ecc5ab76277e4
    37 schema:url http://link.springer.com/10.1007/BF00413696
    38 sgo:license sg:explorer/license/
    39 sgo:sdDataset articles
    40 rdf:type schema:ScholarlyArticle
    41 N02ef520b543d4380b232a7e9d821f98e schema:affiliation https://www.grid.ac/institutes/grid.134936.a
    42 schema:familyName Melnyk
    43 schema:givenName Andrew
    44 rdf:type schema:Person
    45 N2dafcff92b6f412dba910ed8e1a6b6ea schema:name dimensions_id
    46 schema:value pub.1028631703
    47 rdf:type schema:PropertyValue
    48 N395364b11d2a4c2984be75fde8f0c7d2 rdf:first N02ef520b543d4380b232a7e9d821f98e
    49 rdf:rest rdf:nil
    50 N98c34194f32947d4ac33397f953fb84b schema:volumeNumber 108
    51 rdf:type schema:PublicationVolume
    52 Nbcb3a5ae7e0d43bba4a300f32fd5bd19 schema:name doi
    53 schema:value 10.1007/bf00413696
    54 rdf:type schema:PropertyValue
    55 Ncfd1da8439814497b2b2ebed771d0705 schema:issueNumber 3
    56 rdf:type schema:PublicationIssue
    57 Nefe682e735524f1fb105d69d4f09b12d schema:name readcube_id
    58 schema:value 886471949face5d0a985f5a1d88f2b6f918f4e25ab2e5db5d96254a0bff85817
    59 rdf:type schema:PropertyValue
    60 Nf670bc99588f43fa866ecc5ab76277e4 schema:name Springer Nature - SN SciGraph project
    61 rdf:type schema:Organization
    62 anzsrc-for:22 schema:inDefinedTermSet anzsrc-for:
    63 schema:name Philosophy and Religious Studies
    64 rdf:type schema:DefinedTerm
    65 anzsrc-for:2203 schema:inDefinedTermSet anzsrc-for:
    66 schema:name Philosophy
    67 rdf:type schema:DefinedTerm
    68 sg:journal.1284232 schema:issn 0039-7857
    69 1573-0964
    70 schema:name Synthese
    71 rdf:type schema:Periodical
    72 sg:pub.10.1007/978-94-009-2699-8_4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050270962
    73 https://doi.org/10.1007/978-94-009-2699-8_4
    74 rdf:type schema:CreativeWork
    75 sg:pub.10.1007/978-94-011-2464-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038601396
    76 https://doi.org/10.1007/978-94-011-2464-5
    77 rdf:type schema:CreativeWork
    78 sg:pub.10.1007/bf00354586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053679889
    79 https://doi.org/10.1007/bf00354586
    80 rdf:type schema:CreativeWork
    81 sg:pub.10.1007/bf00355448 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012699327
    82 https://doi.org/10.1007/bf00355448
    83 rdf:type schema:CreativeWork
    84 sg:pub.10.1007/bf00413555 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013061991
    85 https://doi.org/10.1007/bf00413555
    86 rdf:type schema:CreativeWork
    87 sg:pub.10.1007/bf00414155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001793498
    88 https://doi.org/10.1007/bf00414155
    89 rdf:type schema:CreativeWork
    90 https://doi.org/10.1017/s0140525x00005756 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016931045
    91 rdf:type schema:CreativeWork
    92 https://doi.org/10.1086/289312 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058599355
    93 rdf:type schema:CreativeWork
    94 https://doi.org/10.1093/mind/lix.236.433 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027055246
    95 rdf:type schema:CreativeWork
    96 https://doi.org/10.1093/mind/xcvii.387.381 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059886908
    97 rdf:type schema:CreativeWork
    98 https://doi.org/10.1112/plms/s2-42.1.230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032985688
    99 rdf:type schema:CreativeWork
    100 https://doi.org/10.2307/2215459 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069831461
    101 rdf:type schema:CreativeWork
    102 https://doi.org/10.2307/3130074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102603220
    103 rdf:type schema:CreativeWork
    104 https://doi.org/10.4159/harvard.9780674594623.c17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1087875767
    105 rdf:type schema:CreativeWork
    106 https://www.grid.ac/institutes/grid.134936.a schema:alternateName University of Missouri
    107 schema:name Department of Philosophy 438 General Classroom Building, University of Missouri — Columbia, 65211, Columbia, MO, USA
    108 rdf:type schema:Organization
     




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


    ...