Knowledge for Design

  • Tom AddisEmail author
Part of the Advanced Information and Knowledge Processing book series (AI&KP)


Having dealt early with the issues of intelligence and the dual semantics of computer programs in Chap. 9, we must now address the issue of how to design a knowledge-based system.


Knowledge Acquisition Production rules Utility theory Resolution Representation Design Meta-theory 


  1. Addis TR (1985) Designing knowledge-based systems. London: Kogan PageGoogle Scholar
  2. Addis TR (1987) A framework for knowledge elicitation. The first European workshop on knowledge acquisition for knowledge-based systems, September, Reading UniversityGoogle Scholar
  3. Addis TR (1989) The science of knowledge: a research programme for knowledge engineering. Proceedings of the third European workshop on knowledge acquisition for knowledge-based systems (EKAW’ 89), Paris, JuneGoogle Scholar
  4. Aris R (1978) Mathematical modeling techniques. Research notes in mathematics 24. Pitman, LondonGoogle Scholar
  5. Langley P, Simon HA, Bradshaw GL, Zytkow JM (1987) Scientific discovery: computational exploration of the creative process. MIT, CambridgeGoogle Scholar
  6. Luce RD, Raiffa H (1957) Games and decisions: introduction and critical survey. Wiley, New York, pp 12–38Google Scholar
  7. Newell A, Simon HA (1956) The logic theory machine. IRE Trans Inf TheoryGoogle Scholar
  8. Newell A, Simon HA (1973) Human problem solving. Prentice-Hall, Englewood CliffsGoogle Scholar
  9. Peirce CS (1934) Scientific method. In: Burks AW (ed) Collected papers of C.S. Peirce, vol. VII. University Press, CambridgeGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.University of Portsmouth School of ComputingPortsmouthUnited Kingdom

Personalised recommendations