Creativity and Artificial Intelligence

By Francisco Câmara Pereira. 2007

432 citations recorded by the source corpus.

With CD-ROM. Creativity and Artificial Intelligence: A Conceptual Blending Approach takes readers into a computationally plausible model of creativity. Inspired by a thorough analysis of work on creativity from the areas of philosophy, psychology, cognitive science, cognitive linguistics and artificial intelligence, the author deals with the various processes, principles and representations that lie underneath the act of creativity. Focusing on Arthur Koestler's Bisociations, which eventually lead to Turner and Fauconnier's conceptual blending framework, the book proposes a theoretical model that considers blends and their emergent structure as a fundamental cognitive mechanism. The author thus discusses the computational implementation of several aspects of conceptual blending theory, namely composition, completion, elaboration, frames and optimality constraints. Informal descriptions and examples are supplied to provide non-computer scientists as well as non-cognitive linguists with clear insights into these ideas. Several experiments are made, and their results are discussed, with particular emphasis on the validation of the creativity and conceptual blending aspects. Written by a researcher with a background in artificial intelligence, the book is the result of several years of exploration and discussion from different theoretical perspectives. As a result, the book echoes some of the criticism made on conceptual blending and creativity in artificial intelligence, and thus proposes improvements in both areas, with the aim of being a constructive contribution to these very intriguing, yet appealing, research orientations.

Subfields: Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/b8bf7eef968b1071026525b8256738758ec6085e

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In Experimental and Cognitive Psychology

Citations in the corpus

Some Empirical Criteria for Attributing Creativity to a Computer Program (2007, background): “This strand has been heavily inﬂuenced by the much-debated ideas of Boden (1992, 1998) on the nature of creativity.”
Creative Sketch Generation (2020, methodology): “…our model has generated hybrids of a penguin and mouse, a panda and a snake, a cow and a parrot (see Figure 6) – a strong indication of creativity (Boden, 1998; Yu & Nickerson, 2011 In the Appendix, we include several other evaluation studies to demonstrate (1) DoodlerGAN’s ability to generate…”
Musical creativity and the embodied mind (2018, background): “Another important approach is offered by Boden (1998, 2004), who posits three sub-types of creativity: combinatorial creativity, which entails the ability to combine preexisting concepts and items in novel ways; exploratory creativity, which arises from the exploration of a given conceptual…”
A probabilistic account of exemplar and category generation. (2013, background): “Numerous AI models of creativity have been proposed that are broadly relevant to the problem of generation (Boden, 1998).”
Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systems (2022, methodology): “Contribution types are adopted and adapted from Boden’s categories of computational creativity based on different types of contribution: combinatorial, exploratory, and transformational [15].”