nach oben

Minds and Machines

Erschienen in:

01.11.2010

The Role of Evaluation-Driven Rejection in the Successful Exploration of a Conceptual Space of Stories

verfasst von: Carlos León, Pablo Gervás

Erschienen in: Minds and Machines | Ausgabe 4/2010

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Evaluation processes are a basic component of creativity. They guide not only the pure judgement about a new artefact but also the generation itself, as creators constantly evaluate their own work. This paper proposes a model for automatic story generation based on the evaluation of stories. A model of how quality in stories is evaluated is presented, and two possible implementations of the generation guided by this evaluation are shown: exhaustive space exploration and constrained exploration. A theoretical model and its implementation are explained and validation of the evaluation function through comparison with human criteria is described.

Vorheriger Artikel Story Planning: Creativity Through Exploration, Retrieval, and Analogical Transformation

Nächster Artikel An Ironic Fist in a Velvet Glove: Creative Mis-Representation in the Construction of Ironic Similes

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

These templates define relationships between particular actions and the set of arguments that are valid for them, and thereby encode the semantic constraints that people associate with particular terms.

Boden, M. (1999). Computational models of creativity. Handbook of creativity (pp. 351–373). Cambridge: Cambridge University Press.

Boden, M. (2003). Creative mind: Myths and mechanisms (p. 10001). New York, NY: Routledge.

Bringsjord, S., & Ferrucci, D. (1999). Artificial intelligence and literary creativity: Inside the mind of Brutus, a storytelling machine. Hillsdale, NJ: Lawrence Erlbaum Associates .

Gervás, P. (2009) . Computational approaches to storytelling and creativity. AI Magazine, 30(3), 49–63.

Graesser, A. C., Singer, M., & Trabasso, T. (1994). Constructing inferences during narrative text comprehension. Psychological Review, 101, 371–395.

Jennings, K. (2008). Developing creativity. Artificial barriers in artificial intelligence. In Proceedings of international joint workshop on computational creativity.

Johnson-Laird, P. N. (1987). Mental models in cognitive science. In A. P. Sage (Ed.), System design for human interaction (pp. 17–39). IEEE Press.

Johnson-Laird, P. N. (2002). How jazz musicians improvise. Music Perception, 19(3), 415–442.CrossRef

Lebowitz, M. (1987). Storytelling and generalization. In In Annual conference of the cognitive science society (pp. 100–109). Berkeley, CA.

Lenat, D. B. (1983). Eurisko: A program that learns new heuristics and domain concepts. Artificial Intelligence, 21(1), 61–98.CrossRef

Mateas, M., & Stern, A. (2005). Structuring content in the Façade interactive drama architecture. In Proceedings of AIIDE, pp. 93–98.

Meehan, J. (1976). The metanovel: Writing stories by computer. PhD thesis, Yale University.

Niehaus, J., & Young, R. M. (2009). A computational model of inferencing in narrative. In Intelligent Narrative Technologies II. AAAI Press.

Peinado, F., & Gervás, P. (2006). Evaluation of automatic generation of basic stories. New Generation Computing, Computational Paradigms and Computational Intelligence. Special issue: Computational Creativity, 24(3), 289–302.MATH

Pérez y, R. (1999). MEXICA: A computer model of creativity in writing. PhD thesis, The University of Sussex.

Riedl, M. (2004). Narrative planning: Balancing plot and character. PhD thesis, Department of Computer Science, North Carolina State University.

Riedl, M., & Young, R. (2006). Story planning as exploratory creativity: Techniques for expanding the narrative search space. New Generation Computing, Computational Paradigms and Computational Intelligence. Special Issue: Computational Creativity, 24(3), 303–323.MATH

Riedl, M. O., & Young, R. M. (2004). An intent-driven planner for multi-agent story generation. In AAMAS ’04: Proceedings of the 3rd International joint conference on autonomous agents and multiagent systems (pp. 186–193). Washington, DC: IEEE Computer Society.

Sawyer, K., John-Steiner, V., Moran,S., Sterberg, R., Feldman, D., Nakamura, J., & Csikszentmihalyi, M. (2003). Creativity and development. Oxford: Oxford University Press.

Sharples, M. (1996). An account of writing as creative design. In C. Michael Levy & S. Ransdell (Eds.), The science of writing (pp. 127–148). Lawrence Erlbaum.

Sharples, M. (1999). How we write. London: Routledge.

Turner, S. (1992). MINSTREL: A computer model of creativity and storytelling. PhD thesis, University of California, Los Angeles, CA.

Weyhrauch, P. (1997). Guiding interactive drama. PhD thesis, Computer Science, Carnegie Mellon University, Pittsburgh, PA.

Wielemaker, J. (2010). SWI-Prolog. http://www.swi-prolog.org/.

Wiggins, G. (2006a). A preliminary framework for description, analysis and comparison of creative systems. Knowledge-Based Systems, 19(7), 449–458.

Wiggins G. (2006b). Searching for computational creativity. New Generation Computing, Computational Paradigms and Computational Intelligence. Special Issue: Computational Creativity, 24(3), 209–222.MATH

Titel: The Role of Evaluation-Driven Rejection in the Successful Exploration of a Conceptual Space of Stories
verfasst von: Carlos León
Pablo Gervás
Publikationsdatum: 01.11.2010
Verlag: Springer Netherlands
Erschienen in: Minds and Machines / Ausgabe 4/2010
Print ISSN: 0924-6495
Elektronische ISSN: 1572-8641
DOI: https://doi.org/10.1007/s11023-010-9205-z

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 4/2010

Computational Creativity: A Continuing Journey

Developing Creativity: Artificial Barriers in Artificial Intelligence

The ERI-Designer: A Computer Model for the Arrangement of Furniture

Story Planning: Creativity Through Exploration, Retrieval, and Analogical Transformation

Assessing the Novelty of Computer-Generated Narratives Using Empirical Metrics

An Ironic Fist in a Velvet Glove: Creative Mis-Representation in the Construction of Ironic Similes

Premium Partner