Intuition, intelligence, data compression.
The main goal of my paper is to argue that data compression is a necessary condition for intelligence. One key motivation for this proposal stems from a paradox about intuition and intelligence. For the purposes of this paper, it will be useful to consider playing board games—such as chess and Go—as...
| Published in: | Synthese Vol. 198; no. 27; pp. 6469 - 6490 |
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| Format: | Article |
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Springer Nature
Nov2021 Supplement 27
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=153553303&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 153553303 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00397857 4LI jtl: Synthese issn: 00397857 maglogo: N pubinfo: dt: Nov2021 Supplement 27 vid: 198 iid: 27 pid: 237 pub: Springer Nature artinfo: ui: 153553303 10.1007/s11229-019-02118-8 ppf: 6469 ppct: 21 formats: fmt: @attributes: type: P size: 971KB tig: atl: Intuition, intelligence, data compression. aug: au: Kipper, Jens affil: Philosophy Department, University of Rochester, 56 Brittany Circle, 14618, Rochester, NY, USA su: Intuition Problem solving Cognition Board games Computer software Data compression sug: subj: Intuition Problem solving Cognition Board games Computer software Data compression keyword: Bounded rationality Chess Complexity theory Go Intelligence ab: The main goal of my paper is to argue that data compression is a necessary condition for intelligence. One key motivation for this proposal stems from a paradox about intuition and intelligence. For the purposes of this paper, it will be useful to consider playing board games—such as chess and Go—as a paradigm of problem solving and cognition, and computer programs as a model of human cognition. I first describe the basic components of computer programs that play board games, namely value functions and search functions. I then argue that value functions both play the same role as intuition in humans and work in essentially the same way. However, as will become apparent, using an ordinary value function is just a simpler and less accurate form of relying on a database or lookup table. This raises our paradox, since reliance on intuition is usually considered to manifest intelligence, whereas usage of a lookup table is not. I therefore introduce another condition for intelligence that is related to data compression. This proposal allows that even reliance on a perfectly accurate lookup table can be nonintelligent, while retaining the claim that reliance on intuition can be highly intelligent. My account is not just theoretically plausible, but it also captures a crucial empirical constraint. This is because all systems with limited resources that solve complex problems—and hence, all cognitive systems—need to compress data. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Synthese is a copyright of Springer, 2021. All Rights Reserved. item: Synthese holder: Springer Nature dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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