Knowledge Structures for Communications in Human‐Computer Systems: General Automata‐based

Citation

Howard, W.R. (2007), "Knowledge Structures for Communications in Human‐Computer Systems: General Automata‐based", Kybernetes, Vol. 36 No. 3/4, pp. 548-548. https://doi.org/10.1108/03684920710747156

The aim of this book is to present knowledge structures for communications in human‐computer systems based on general automata. The author intends that the model which is produced will provide knowledge representations for use in software engineering.

One of the features of this text is that after describing the process of obtaining the model the author includes useful practical applications. These not only show the results that can be obtained but also help the reader who intends to use this method in real situations. The specification of the method is clearly presented and individual features of it selected and analysed.

The author takes six of the features that are believed to offer the best results in developing communication in human‐computing system. These are introduced and presented in depth.

The features considered are:

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  extracting and storing the knowledge of sentences;

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  knowledge association;

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  deductive processes;

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  inferences;

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  feedback; and

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  sequencing of knowledge.

The General Automata method is used to achieve these features in the resulting model. These are amply illustrated throughout the text. Producing such knowledge structures and obtaining the resulting representation is obviously achievable using this methodology and readers have been provided with more than sufficient detail‐led analysis and practical illustrations to do so.