Skip to main content Accessibility help
×
Hostname: page-component-8448b6f56d-t5pn6 Total loading time: 0 Render date: 2024-04-24T18:55:40.375Z Has data issue: false hasContentIssue false

13 - Semantic Ideas in Computing

Published online by Cambridge University Press:  10 December 2009

Ian Wand
Affiliation:
University of York
Robin Milner
Affiliation:
University of Cambridge
Get access

Summary

Introduction

Are there distinct principles and concepts which underlie computing, so that we are justified in calling it an independent science? Or is computing a resource or commodity – like water – which is perfectly well understood in terms of existing science, for which we merely have to find more and better uses?

In this essay I argue that a rich conceptual development is in progress, to which we cannot predict limits, and whose outcome will be a distinct science. This development has all the excitement and unpredictability of any science. We cannot predict how the conceptual landscape will lie in a decade's time; the subject is still young and has many surprises in store, and there is no sure way to extrapolate from the concepts which we now understand to those which will emerge. I therefore support my argument by explaining in outline some semantic ideas which have emerged in the last two or three decades, and some which are just now emerging.

I try to present the ideas here in a way which is accessible to someone with an understanding of programming and a little mathematical background. This volume aims to give a balanced picture of computer science; to achieve this, those parts which are mathematical must be presented as such. The essence of foundational work is to give precise meaning to formulations of processes and information; clearly, we should employ mathematics in this work whenever it strengthens our analytical power. Thus, rather than avoiding equations, I try to surround them with helpful narrative.

It is a somewhat arbitrary matter to decide when a scientific discipline is mature and stands significantly on its own.

Type
Chapter
Information
Computing Tomorrow
Future Research Directions in Computer Science
, pp. 246 - 283
Publisher: Cambridge University Press
Print publication year: 1996

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×