Implications of Human Pattern Processing for the Design of Artificial Knowledge Systems.
Saved in:
| Title: | Implications of Human Pattern Processing for the Design of Artificial Knowledge Systems. |
|---|---|
| Language: | English |
| Authors: | Hayes-Roth, Barbara, Rand Corp., Santa Monica, CA. |
| Availability: | Rand Corporation, Main St., Santa Monica, CA 90406 ($3.00). |
| Peer Reviewed: | N |
| Page Count: | 31 |
| Publication Date: | 1977 |
| Document Type: | Information Analyses |
| Descriptors: | Artificial Intelligence, Cognitive Processes, Cues, Cybernetics, Design Requirements, Epistemology, Literature Reviews, Pattern Recognition |
| Abstract: | This paper presents evidence that four design principles commonly embodied in artificial knowledge systems are inconsistent with human cognitive capabilities. Because these principles are widely accepted as characteristics of human knowledge processing, common theoretical properties related to cognitive psychology and artificial intelligence which are apparent in pattern processing research, are considered, including (1) canonical meaning representations of stored patterns; (2) prototypes as representations of classes of stored patterns; (3) pattern-matching processes that must fully evaluate all stored patterns that partially match a target pattern; and (4) pattern-matching processes that are influenced by pattern complexity and limited processing capacity. This characterization of human pattern processing is critically evaluated in light of recent psychological studies, and the implications of these results for artificial knowledge systems design are discussed. Forty-two references are listed. (LMM) |
| Entry Date: | 1983 |
| Accession Number: | ED230186 |
| Database: | ERIC |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: eric DbLabel: ERIC An: ED230186 AccessLevel: 3 PubType: Report PubTypeId: report PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Implications of Human Pattern Processing for the Design of Artificial Knowledge Systems. – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hayes-Roth%2C+Barbara%22">Hayes-Roth, Barbara</searchLink><br /><searchLink fieldCode="AR" term="%22Rand+Corp%2E%2C+Santa+Monica%2C+CA%2E%22">Rand Corp., Santa Monica, CA.</searchLink> – Name: Avail Label: Availability Group: Avail Data: Rand Corporation, Main St., Santa Monica, CA 90406 ($3.00). – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 31 – Name: DatePubCY Label: Publication Date Group: Date Data: 1977 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Information Analyses – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+Processes%22">Cognitive Processes</searchLink><br /><searchLink fieldCode="DE" term="%22Cues%22">Cues</searchLink><br /><searchLink fieldCode="DE" term="%22Cybernetics%22">Cybernetics</searchLink><br /><searchLink fieldCode="DE" term="%22Design+Requirements%22">Design Requirements</searchLink><br /><searchLink fieldCode="DE" term="%22Epistemology%22">Epistemology</searchLink><br /><searchLink fieldCode="DE" term="%22Literature+Reviews%22">Literature Reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Pattern+Recognition%22">Pattern Recognition</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents evidence that four design principles commonly embodied in artificial knowledge systems are inconsistent with human cognitive capabilities. Because these principles are widely accepted as characteristics of human knowledge processing, common theoretical properties related to cognitive psychology and artificial intelligence which are apparent in pattern processing research, are considered, including (1) canonical meaning representations of stored patterns; (2) prototypes as representations of classes of stored patterns; (3) pattern-matching processes that must fully evaluate all stored patterns that partially match a target pattern; and (4) pattern-matching processes that are influenced by pattern complexity and limited processing capacity. This characterization of human pattern processing is critically evaluated in light of recent psychological studies, and the implications of these results for artificial knowledge systems design are discussed. Forty-two references are listed. (LMM) – Name: DateEntry Label: Entry Date Group: Date Data: 1983 – Name: AN Label: Accession Number Group: ID Data: ED230186 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED230186 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 31 Subjects: – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Cognitive Processes Type: general – SubjectFull: Cues Type: general – SubjectFull: Cybernetics Type: general – SubjectFull: Design Requirements Type: general – SubjectFull: Epistemology Type: general – SubjectFull: Literature Reviews Type: general – SubjectFull: Pattern Recognition Type: general Titles: – TitleFull: Implications of Human Pattern Processing for the Design of Artificial Knowledge Systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rand Corp., Santa Monica, CA. – PersonEntity: Name: NameFull: Hayes-Roth, Barbara IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Type: published Y: 1977 |
| ResultId | 1 |