Machine Intelligence Volume 2

 Home > Browse Our Collection > Books > General > Machine Intelligence Volume 2


 PREFACE by David Kendall 



     1.  Semantics of assignment: R.M. BURSTALL  
     2.  Some transformations and standard forms of graphs, with applications to computer programs: D.C. COOPER 
     3.  Data representation-the key to conceptualisation: D.B. VIGOR


     4.  An approach to analytic integration using ordered algebraic expressions: L.I. HODGSON
     5.  Some theorem-proving strategies based on the resolution principle: J.L. DARLINGTON   


     6.  Automatic description and recognition of board patterns in Go-Moku: A.M. MURRAY and E.W. ELCOCK
     7.  A five-year plan for automatic chess: I.J. GOOD 
     8.  New developments of the Graph Traverser: J. DORAN
     9.  BOXES: an experiment in adaptive control: D. MICHIE and R.A. CHAMBERS
     10. A regression analysis program incorporating heuristic term selection: J.S. COLLINS


     11. A limited dictionary for syntactic analysis: P. BRATLEY and D.J. DAKIN


     12. POP-1: an on-line language: R.J. POPPLESTONE  
     13. Self-improvement in query languages: J.M. FOSTER
     14. POP-2 reference manual: R.M. BURSTALL and R.J. POPPLESTONE


Bibliographic details

    Machine Intelligence 2

        * Ella Dale and Donald Michie
          Department of Machine Intelligence and Perception, University of Edinburgh

    Publisher: Oliver and Boyd 1968

    Proceedings of the Second Annual Machine Intelligence Workshop, University of Edinburgh, September 1966.


Publisher : Oliver & Boyd

Author :

Format :





This book may be available to buy :
Machine Intelligence Volume 2




This exhibit has a reference ID of CH14003. Please quote this reference ID in any communication with the Centre for Computing History.
Machine Intelligence Volume 2 Click on the Images For Detail

Help support the museum by buying from the museum shop

View all items

Founding Sponsors
redgate Google ARM Real VNC Microsoft Research
Heritage Lottery Funded
Heritage Lottery Fund
Accredited Museum