LOGIC FOR LEARNING: LEARNING COMPREHENSIBLE THEORIES FROM STRUCTURED DATA, by J. W. Lloyd, Springer, Berlin, 2003, ISBN 3-540-42027-4, x + 256 pp. Cognitive Technologies series, ISSN 1611-2482 (Hbk, £29.50)

Alex M. Andrew

doi:10.1017/S0263574704230946

LOGIC FOR LEARNING: LEARNING COMPREHENSIBLE THEORIES FROM STRUCTURED DATA, by J. W. Lloyd, Springer, Berlin, 2003, ISBN 3-540-42027-4, x + 256 pp. Cognitive Technologies series, ISSN 1611-2482 (Hbk, £29.50)

Published online by Cambridge University Press: 19 August 2004

Alex M. Andrew

Show author details

Alex M. Andrew: Affiliation:
95 Finch Road, Earley, Reading RG6 7JX (UK)

Article contents

Abstract

Rights & Permissions

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'

Type: Book Review
Information: Robotica , Volume 22 , Issue 5 , October 2004 , pp. 588

DOI: https://doi.org/10.1017/S0263574704230946 [Opens in a new window]

Article contents

LOGIC FOR LEARNING: LEARNING COMPREHENSIBLE THEORIES FROM STRUCTURED DATA, by J. W. Lloyd, Springer, Berlin, 2003, ISBN 3-540-42027-4, x + 256 pp. Cognitive Technologies series, ISSN 1611-2482 (Hbk, £29.50)

Abstract

Save article to Kindle

Save article to Dropbox

Save article to Google Drive

Reply to: Submit a response

Your details

You have entered the maximum number of contributors

Conflicting interests