By Margaret Boden (auth.), Terry Dartnall (eds.)
Creativity is without doubt one of the least understood elements of intelligence and is usually obvious as `intuitive' and never prone to rational enquiry. lately, even though, there was a resurgence of curiosity within the region, mostly in man made intelligence and cognitive technology, but additionally in psychology, philosophy, desktop technology, common sense, arithmetic, sociology, and structure and layout. This quantity brings this interact and offers an summary of this quickly constructing box. It addresses various concerns. Can desktops be inventive? Can they assist us to appreciate human creativity? How can man made intelligence (AI) increase human creativity? How, specifically, can it give a contribution to the `sciences of the artificial', comparable to layout? Does the recent wave of AI (connectionism, geneticism and synthetic existence) supply extra promise in those components than classical, symbol-handling AI? What could the results be for AI and cognitive technology if pcs may perhaps not be artistic?
those concerns are explored in 5 interrelated components, each one of that's introducted and defined by means of a number one determine within the box.
- Prologue (Margaret Boden)
- half I: Foundational matters (Terry Dartnall)
- half II: Creativity and Cognition (Graeme S. Halford and Robert Levinson)
- half III: Creativity and Connectionism (Chris Thornton)
- half IV: Creativity and layout (John Gero)
- half V: Human Creativity Enhancement (Ernest Edmonds)
- Epilogue (Douglas Hofstadter)
For researchers in AI, cognitive technological know-how, machine technology, philosophy, psychology, arithmetic, good judgment, sociology, and structure and layout; and a person attracted to the swiftly growing to be box of synthetic intelligence and creativity.
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Additional info for Artificial Intelligence and Creativity: An Interdisciplinary Approach
The role of variation is modelled by heuristics (genetic operators) that transform the rules by swapping and inserting parts in ways like those outlined above. For instance, the 'crossover' operator swaps a randomly selected segment between each of two rules. Each segment may initially be in a rule's IF-section or its THENsection. In other words, the crossover heuristic can change either the conditions that result in a certain action, or the action to be taken in certain conditions, or both. One promising strategy would be to combine the effective components of several high-strength rules.
We should then have to respect their interests, even-on occasion-above our own. ) Similarly, to regard computer-systems as really intelligent would mean that they could be deceived and that, all things being equal, we should not deceive them. It would mean, too, that they could really know the things they were apparently saying, so we could really trust them. The last example has already come up in the English law-courts. A man was accused of stealing banknotes, and the prosecution submitted a list of banknotenumbers, some of which matched notes found in his possession.
1985, Artificial Intelligence: The Very Idea, MITlBradford Books, Cambridge. Mass. Hempel, C. : 1985, Thoughts on the limitations of discovery by computer, in Schaffner, K. F. (1985). : 1992, BeyondModulority: A developmenralperspecti1leon cognitive science, MITlBradford Press, Cambridge, Mass. : 1985, The Man Who Mistook His Wife For a Hat, Picador, London. Schaffner, K. F.
Artificial Intelligence and Creativity: An Interdisciplinary Approach by Margaret Boden (auth.), Terry Dartnall (eds.)