Book reviews

Within the expert-systems community, 'knowledge acquisition' refers to the necessary task of eliciting and representing expert knowledge for coding as a computational system. This practically motivated task cannot avoid an issue of central import to a theory of machine intelligence: the relationship between the human knowledge to be acquired and the represented knowledge to be stored in the computer. Through intended to provide guidance for the knowledge elicitor, Knowledge Acquisition is therefore most interesting to readers of Minds and Machines for its insistence on a distinction between human knowledge and represented knowledge, and its focus on knowledge acquisition rather than knowledge representation as the key to system flexibility and usability. Brul6 and Blount believe that the computer metaphor for human knowledge has dominated many approaches to knowledge acquisition, resulting in inevitable difficulties:

[1]  James R. Meehan,et al.  The Metanovel: Writing Stories by Computer , 1976, Outstanding Dissertations in the Computer Sciences.

[2]  T. Moran The imprecision of mental imagery , 1979, Behavioral and Brain Sciences.

[3]  Steven P. Shwartz,et al.  On the demystification of mental imagery , 1979, Behavioral and Brain Sciences.

[4]  S. Pinker Mental imagery and the third dimension. , 1980, Journal of experimental psychology. General.

[5]  S. Pinker,et al.  Emergent two-dimensional patterns in images rotated in depth. , 1980, Journal of experimental psychology. Human perception and performance.

[6]  Antonio R. Damasio,et al.  The Brain Binds Entities and Events by Multiregional Activation from Convergence Zones , 1989, Neural Computation.

[7]  Anthony S. Maida,et al.  Maintaining Mental Models of Agents who have Existential Misconceptions , 1991, Artif. Intell..