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{ |
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"paper_id": "T75-1006", |
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"header": { |
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"generated_with": "S2ORC 1.0.0", |
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"date_generated": "2023-01-19T07:43:22.998678Z" |
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}, |
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"title": "p.ll Author should read: p.30 Author should read: p.60 Author should read: p.84 Author should read: p.94 Author should read: ERRATA", |
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"authors": [ |
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{ |
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"first": "Christopher", |
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"middle": [], |
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"last": "Riesbeck", |
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"suffix": "", |
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"affiliation": { |
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"laboratory": "", |
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"institution": "Yale University", |
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"location": {} |
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}, |
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"email": "" |
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}, |
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{ |
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"first": "George", |
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"middle": [ |
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"A" |
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], |
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"last": "Miller", |
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"suffix": "", |
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"affiliation": { |
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"laboratory": "", |
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"institution": "Rockefeller University", |
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"location": {} |
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}, |
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"email": "" |
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}, |
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{ |
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"first": "Joseph", |
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"middle": [ |
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"D" |
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], |
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"last": "Becker", |
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"suffix": "", |
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"affiliation": { |
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"laboratory": "", |
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"institution": "University of Wisconsin", |
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"location": {} |
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}, |
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"email": "" |
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}, |
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{ |
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"first": "Newman", |
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"middle": [ |
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"Sheldon" |
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], |
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"last": "Klein", |
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"suffix": "", |
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"affiliation": { |
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"laboratory": "", |
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"institution": "University of Wisconsin", |
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"location": {} |
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}, |
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"email": "" |
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}, |
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{ |
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"first": "Carl", |
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"middle": [], |
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"last": "Hewitt", |
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"suffix": "", |
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"affiliation": { |
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"laboratory": "Artificial Intelligence Lab, MIT", |
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"institution": "", |
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"location": {} |
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}, |
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"email": "" |
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} |
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], |
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"year": "", |
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"venue": null, |
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"abstract": "", |
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"paper_id": "T75-1006", |
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"abstract": [], |
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"TABREF0": { |
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"num": null, |
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"content": "<table><tr><td>understanding process ought to be sensitive to the understander's style</td></tr><tr><td>and purpose.\"</td></tr><tr><td>p.198 Table should read:</td></tr><tr><td>Act Name: Request</td></tr><tr><td>Argument List:</td></tr><tr><td>agent: A; recipient: R; message: M; requested response: X</td></tr><tr><td>Can Conditions:</td></tr><tr><td>CI: A EXPECTS that A CAN CAUSE some action such that</td></tr><tr><td>that action results in R KNOWING A's message.</td></tr><tr><td>C2: A EXPECTS that R will CHOOSE to UNDERSTAND A's message</td></tr><tr><td>C3: A BELIEVES that R BELIEVES certain propositions;</td></tr><tr><td>AND</td></tr><tr><td>A EXPECTS that [R's KNOWING A's message AND R BELIEVING</td></tr><tr><td>certain propositions] will result in R BELIEVING:</td></tr><tr><td>(I) A WANTS X</td></tr><tr><td>(2) A WANTS R to CAUSE X</td></tr><tr><td>(3) A BELIEVES that R CAN CAUSE X</td></tr><tr><td>(4) A EXPECTS that A's REQUESTING may MOTIVATE</td></tr><tr><td>R to CAUSE X</td></tr><tr><td>(5) A BELIEVES that R was NOT MOTIVATED to</td></tr><tr><td>CAUSE X prior to A's REQUEST.</td></tr><tr><td>Goal Hypotheses:</td></tr><tr><td>GI: R BELIEVES that A WANTS R to CAUSE X</td></tr><tr><td>G2: A's REQUEST may MOTIVATE R to CAUSE X</td></tr><tr><td>Outcome Possibilities:</td></tr><tr><td>O1: R will UNDERSTAND A's COMMUNICATIONACT</td></tr><tr><td>02: If Someone PERCEIVES A's message, then that</td></tr><tr><td>Someone CAN UNDERSTAND A's COMMUNICATIONACT</td></tr><tr><td>Motivational Hypotheses:</td></tr><tr><td>MI: A WANTS R to BELIEVE that A WANTS R to CAUSE X</td></tr><tr><td>M2: A WANTS X</td></tr><tr><td>M3: A WANTS R to CAUSE X</td></tr><tr><td>Normative Obligations:</td></tr><tr><td>NI: If someone BELIEVES that A is COMMUNICATING then that</td></tr><tr><td>someone BELIEVES that A OUGHT to UNDERSTAND A's message</td></tr><tr><td>N2: If R BELIEVES that A is COMMUNICATING to R then R</td></tr><tr><td>BELIEVES that R CUGHT to UNDERSTAND A's message</td></tr><tr><td>N3: If R BELIEVES that A is REQUESTING that</td></tr><tr><td>R CAUSE X AND R EXPECTS to NOT CAUSE X</td></tr><tr><td>then R BELIEVES that R OUGHT to EXPLAIN</td></tr><tr><td>to A why R EXPECTS to NOT CAUSE X</td></tr><tr><td>TABLE I. Representation of the Action REQUEST</td></tr><tr><td>22.</td></tr></table>", |
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"html": null, |
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"text": "p.104 Author should read: Marvin Minsky, Artificial Intelligence Lab, MIT p.142 First sentence of the final paragraph should read: \"What we are saying here is perhaps nothing more nor less than the conventional wisdom that the" |
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} |
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} |
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} |
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} |