By Selmer Bringsjord
Is human creativity a wall that AI can by no means scale? many of us are chuffed to confess that specialists in lots of domain names could be matched by means of both knowledge-based or sub-symbolic structures, yet even a few AI researchers harbor the desire that after it involves feats of sheer brilliance, brain over computing device is an unalterable truth. during this e-book, the authors push AI towards a time while machines can autonomously write not only humdrum tales of the type visible for years in AI, yet excellent fiction regarded as the province of human genius. It stories on 5 years of attempt dedicated to development a narrative generator--the BRUTUS.1 system.
This e-book used to be written for 3 basic purposes. the 1st theoretical explanation for making an investment time, funds, and skill within the quest for a really artistic computer is to paintings towards a solution to the query of even if we ourselves are machines. the second one theoretical cause is to silence those that think that common sense is ceaselessly closed off from the emotional international of creativity. the sensible intent for this undertaking, and the 3rd cause, is that machines capable of paintings along people in arenas calling for creativity can have incalculable worthy.
Read Online or Download Artificial Intelligence and Literary Creativity PDF
Similar intelligence & semantics books
A workshop on Singularities, Bifuraction and Dynamics was once held at Warwick in July 1989, as a part of a year-long symposium on Singularity conception and its purposes. The complaints fall into halves: quantity I typically on connections with algebraic geometry and quantity II on connections with dynamical structures idea, bifurcation thought and purposes within the sciences.
This publication offers a idea, a proper language, and a realistic method for the specification, use, and reuse of problem-solving tools. The framework built through the writer characterizes knowledge-based platforms as a selected kind of software program structure the place the purposes are constructed via integrating familiar activity requirements, challenge fixing equipment, and area versions: this procedure turns wisdom engineering right into a software program engineering self-discipline.
Whereas a lot has been written in regards to the parts of textual content new release, textual content making plans, discourse modeling, and person modeling, Johanna Moore's publication is among the first to take on modeling the complicated dynamics of explanatory dialogues. It describes an explanation-planning structure that permits a computational approach to take part in an interactive discussion with its clients, concentrating on the information constructions method needs to construct which will problematic or make clear past utterances, or to reply to follow-up questions within the context of an ongoing discussion.
- The Posthuman Condition: Consciousness Beyond the Brain
- Natural language parsing systems
- Artificial intelligence in chemical engineering
- Blondie24: Playing at the Edge of AI (The Morgan Kaufmann Series in Artificial Intelligence)
- Self-Organizing Migrating Algorithm: Methodology and Implementation
Additional resources for Artificial Intelligence and Literary Creativity
Q2 Yes — but a guarded yes. Yes, obviously! Q3 Yes — but a guarded yes. Yes, obviously! Q4 No, probably not. No. 9 Q4, Boden tells us, is actually beside the point, and she relegates discussion of it to the final chapter: For reasons explained in the final chapter, I would probably answer “No” to the fourth question. Perhaps you would, too. However, this hypothetical moral decision-making about imaginary artificial creatures is irrelevant to our main purpose: understanding human creativity. For even if we answer “No” to the fourth Lovelacequestion, the affirmative answers to the first three questions can stand.
For example, in Chapter 2 we explain why building a computational system with the imagistic powers of a human author is, at least for the foreseeable future, impossible. As a result, we retreat to giving 7An insightful review of this book has been written by Tom Trabasso . 8Schank has devoted a book to the view that stories are at the very heart of human cognition . Page 9 BRUTUS1 rules for generating narrative that produces mental images in the minds of readers. All known tests in the Turing Test sequence are discussed and found to be inadequate in a paper written recently by one of us: Bringsjord .
7 Why We're Thoroughgoing Logicists We conclude this chapter by explaining something alert readers will doubtless have already have noted: namely, that our approach is a thoroughly logic-based one: Neural nets and dynamical systems21 and the like are nowhere to be found in this volume. As you'll soon see, the explanation we offer for our logicist approach is based on two stories, one involving Tchaikovsky, and the other involving Sherlock 20 Along these lines, see the recent cracking of the Robbins Problem by the EQP theorem-prover .
Artificial Intelligence and Literary Creativity by Selmer Bringsjord