Intelligence Semantics

Download Artificial Intelligence and Software Engineering: by Derek Partridge PDF

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By Derek Partridge

During this literate and easy-to-read dialogue, Derek Partridge is helping us comprehend what AI can and can't do. subject matters mentioned contain strengths and weaknesses of software program improvement and engineering, the guarantees and difficulties of computer studying, specialist platforms and luck tales, sensible software program via synthetic intelligence, man made intelligence and traditional software program engineering difficulties, software program engineering technique, new paradigms for method engineering, what the longer term holds, and extra.

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Extra resources for Artificial Intelligence and Software Engineering: Understanding the Promise of the Future

Sample text

In involves two major subprocesses: tracking down and removing (or at least disabling) the errors that show up during day-to-day usage of the software, and changing the software to meet changing user needs. That (fairly) quick tour of software engineering will serve as a grounding in the nature of the task. We can now build on it, extend it, augment it, change it, question it, and even contradict it. As mentioned much earlier, the great quest—the driving force behind the push to imbue software practice with engineering principles and judgement—is for reliability of software systems.

Software products are typically not treated with a great deal of circumspection, but then neither do they seem to kill many people or cause the collapse of significant sectors of society. Why is this? Perhaps there isn't really a software crisis after all? Or perhaps the significance of software systems within society is overrated, as such things often are by the people who are responsible for them? Page 28 I think that neither of these proffered answers is correct, but that they both have a significant element of truth in them.

But what we do currently see is various attempts in the software world to move in the direction of one or more of these types of increases in software power. Responsiveness to human users Software that is responsive to its users should be self-explanatory. But there is broad range of degrees of responsiveness in various dimensions. It might be said that user-responsive software has been with us for years. The bank's computer system, for example, treats its customers as individuals: it recognizes them (by means of a plastic card and a code number); it accesses their personal account; and deals with it in the manner that they request.

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