Creativity is the hallmark of human cognition, yet scientific understanding of creative processes is limited. However, there is increasing interest in revealing the neural correlates of human creativity. Though many of these studies, pioneering in nature, help demystification of creativity, but the field is still dominated by popular beliefs in associating creativity with "right brain thinking", "divergent thinking", "altered states" and so on (Dietrich and Kanso, 2010). In this article, we discuss a computational framework for creativity based on Baars' global (...) workspace theory (Baars, 1988) enhanced with mechanisms based on information theory. Next we propose a neurocognitive architecture of creativity with a strong focus on various facets (i.e., unconscious thought theory, mind wandering, spontaneous brain states) of un/pre-conscious brain responses. Our principal argument is that pre-conscious creativity happens prior to conscious creativity happens prior to conscious creativity and the proposed computational model may provide a mechanism by which this transition is managed. This integrative approach, albeit unconventional, will hopefully stimulate future neuroscientific studies of the inscrutable phenomenon of creativity. (shrink)

Creativity is often portrayed as an X-factor that accounts for the spontaneous generation of the absolutely new. Yet the obsession with novelty implies a focus on final products and a retrospective attribution of their forms to unprecedented ideas in the minds of individuals, at the expense of any recognition of the form-generating potentials of the relations and processes in which persons and things are made and grown. In these processes, practitioners are characteristically called upon to copy the works of past (...) masters. However, though they may be guided by a script or score, every practitioner has to improvise his or her own passage through the array of tasks the performance entails. With examples from music, calligraphy and lace-making, I show that the wellsprings of creativity lie not inside people’s heads, but in their attending upon a world in formation. In this kind of creativity, undergone rather than done, imagination is not so much the capacity to come up with new ideas as the aspirational impulse of a life that is not just lived but led. But where it leads is not yet given. In opening to the unknown — in exposure — imagination leads not by mastery but by submission. Thus the creativity of undergoing, of action without agency, is that of life itself. (shrink)

What is creativity? One new idea may be creative, whereas another is merely new: What's the difference? And how is creativity possible? These questions about human creativity can be answered, at least in outline, using computational concepts. There are two broad types of creativity, improbabilist and impossibilist. Improbabilist creativity involves novel combinations of familiar ideas. A deeper type involves METCS: the mapping, exploration, and transformation of conceptual spaces. It is impossibilist, in that ideas may be generated which – with respect (...) to the particular conceptual space concerned – could not have been generated before. The more clearly conceptual spaces can be defined, the better we can identify creative ideas. Defining conceptual spaces is done by musicologists, literary critics, and historians of art and science. Humanist studies, rich in intuitive subtleties, can be complemented by the comparative rigour of a computational approach. Computational modelling can help to define a space, and to show how it may be mapped, explored, and transformed. Impossibilist creativity can be thought of in “classical” Al terms, whereas connectionism illuminates improbabilist creativity. Most Al models of creativity can only explore spaces, not transform them, because they have no self-reflexive maps enabling them to change their own rules. A few, however, can do so. A scientific understanding of creativity does not destroy our wonder at it, nor does it make creative ideas predictable. Demystification does not imply dehumanization. (shrink)

Humanist thought has long considered the nature of creativity in workers but the dominant framework for conceptualising creativity, rooted in psychological theory, has provided inadvertent limits on who might be considered creative at work. This is because creativity is commonly defined through the recognition of produced and valued novelty. This definition obscures all that is unrecognised, unrealised, unexercised, and currently in potential from being considered as creativity. Given that creativity can sometimes exist in potential, and that some workers have their (...) creativity actively prevented from being recognised, researching and understanding the unrecognised creative person can be seen as an important goal for humanist scholars. The goal of this paper then is to unpick the contradiction between unrecognised creativity and dominant definitions of creativity in order to enable a deeper understanding of creativity at work. The paper proceeds with an immanent critique of the dominant framework and its definition of creativity, before proposing a critical realist inspired ontology of creativity, including an augmented definition of creativity. The consequences of this research for understanding creativity in organisations are briefly reflected upon. (shrink)

Work on analogy has been done from a number of disciplinary perspectives throughout the history of Western thought. This work is a multidisciplinary guide to theorizing about analogy. It contains 1,406 references, primarily to journal articles and monographs, and primarily to English language material. classical through to contemporary sources are included. The work is classified into eight different sections (with a number of subsections). A brief introduction to each section is provided. Keywords and key expressions of importance to research on (...) analogy are discussed in the introductory material. Electronic resources for conducting research on analogy are listed as well. (shrink)

According to David Chalmers, the hard problem of consciousness consists of explaining how and why qualitative experience arises from physical states. Moreover, Chalmers argues that materialist and reductive explanations of mentality are incapable of addressing the hard problem. In this chapter, I suggest that Chalmers’ hard problem can be usefully distinguished into a ‘how question’ and ‘why question,’ and I argue that evolutionary biology has the resources to address the question of why qualitative experience arises from brain states. From this (...) perspective, I discuss the different kinds of evolutionary explanations (e.g., adaptationist, exaptationist, spandrel) that can explain the origins of the qualitative aspects of various conscious states. This argument is intended to clarify which parts of Chalmers’ hard problem are amenable to scientific analysis. (shrink)

Creativity has received, and continues to receive, comparatively little analysis in philosophy and the brain and behavioural sciences. This is in spite of the importance of creative thought and action, and the many and varied resources of theories of mind. Here an alternative approach to analyzing creativity is suggested: start from the bottom up with minimally creative thought. Minimally creative thought depends non-accidentally upon agency, is novel relative to the acting agent, and could not have been tokened before the time (...) it is in fact tokened, relative to the agent in question. Thoughts that meet these three conditions—agency, psychological novelty, and modal—are what may be called cognitive breakthroughs. Even if such breakthroughs are not necessary to or definitive of richer creativity, they are indeed central to much of creativity. The minimal analysis provides a more workable explanandum for theories of creativity of varied motivation and method. (shrink)

This paper surveys some of the central issues in the philosophy of creativity and argues that an adequate treatment of them requires attention to the rich psychological literature on creativity. It also shows that the range of interesting philosophical questions to be raised about creativity is much wider than concerns its role in art. Issues covered include the definition of ‘creativity’; the relation of creativity to imagination; whether the creative process is rational; whether it is teleological; the relation of creativity (...) to knowledge; whether creativity can be explained; computational and Darwinian theories of creativity; whether creativity is a virtue; the relation of creativity to tradition; the aesthetic value of creativity; and whether creative activity is different in science and art. (shrink)

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. (shrink)

Storytelling is a pervasive part of our daily lives and culture. The task of creating stories for the purposes of entertaining, educating, and training has traditionally been the purview of humans. This sets up the conditions for a creative authoring bottleneck where the consumption of stories outpaces the production of stories by human professional creators. The automation of story creation may scale up the ability to produce and deliver novel, meaningful story artifacts. From this practical perspective, story generation systems replicate (...) the creative abilities of humans and can thus be considered instances of computational creativity. Computational systems that are purported to be creative typically utilize one of three general approaches: exploration of a space of concepts, combination of concepts, and transformation of concepts. In this article we present an approach to story generation that utilize exploration, combination, and transformation. Our approach, implemented in the Vignette Based Partial Order Causal Link story planner, is an algorithm that searches through a space of possible story solutions, guided by combinations of existing story fragments called vignettes. The vignettes are made relevant to novel story generation contexts through an automated transformation pre-process. Through these processes, we show that story generation can incorporate multiple perspectives on computational creativity. Our approach is presented at both the theoretical and technical levels. (shrink)

Philosophers have usually offered a number of ways of describing hypotheses generation, but all aim at demonstrating that the activity of generating hypotheses is paradoxical, illusory or obscure, and then not analysable. Those descriptions are often so far from Peircian pragmatic prescription and so abstract to result completely unknowable and obscure. The “computational turn” gives us a new way to understand creative processes in a strictly pragmatic sense. In fact, by exploiting artificial intelligence and cognitive science tools, computational philosophy allows (...) us to test concepts and ideas previously conceived only in abstract terms. It is in the perspective of these actual computational models that I find the central role of abduction in the explanation of creative reasoning in science. Creativity and discovery are no more seen as a mysterious irrational process, but, thanks to constructive accounts, as a complex relationship among different inferential steps that can be clearly analysed and identified. I maintain that the computational philosophy analysis of model-based and manipulative abduction and of external and epistemic mediators is important not only to delineate the actual practice of abduction, but also to further enhance the development of programs computationally adequate in rediscovering, or discovering for the first time, for example, scientific hypotheses or mathematical theorems. (shrink)

This article proposes a unified framework for understanding creative problem solving, namely, the explicit–implicit interaction theory. This new theory of creative problem solving constitutes an attempt at providing a more unified explanation of relevant phenomena (in part by reinterpreting/integrating various fragmentary existing theories of incubation and insight). The explicit–implicit interaction theory relies mainly on 5 basic principles, namely, (a) the coexistence of and the difference between explicit and implicit knowledge, (b) the simultaneous involvement of implicit and explicit processes in most (...) tasks, (c) the redundant representation of explicit and implicit knowledge, (d) the integration of the results of explicit and implicit processing, and (e) the iterative (and possibly bidirectional) processing. A computational implementation of the theory is developed based on the CLARION cognitive architecture and applied to the simulation of relevant human data. This work represents an initial step in the development of process-based theories of creativity encompassing incubation, insight, and various other related.. (shrink)

Goal-directed problem solving as originally advocated by Herbert Simon’s means-ends analysis model has primarily shaped the course of design research on artificially intelligent systems for problem-solving. We contend that there is a definite disregard of a key phase within the overall design process that in fact logically precedes the actual problem solving phase. While systems designers have traditionally been obsessed with goal-directed problem solving, the basic determinants of the ultimate desired goal state still remain to be fully understood or categorically (...) defined. We propose a rational framework built on a set of logically inter-connected conjectures to specifically recognize this neglected phase in the overall design process of intelligent systems for practical problem-solving applications. (shrink)

The Institute Vienna Circle held a conference in Vienna in 2003, Cambridge and Vienna a?

Experiences of art involve exercise of ordinary cognitive and perceptual capacities but in unique ways. These two features of experiences of art imply the mutual importance of aesthetics and cognitive science. Cognitive science provides empirical and theoretical analysis of the relevant cognitive capacities. Aesthetics thus does well to incorporate cognitive scientific research. Aesthetics also offers philosophical analysis of the uniqueness of the experience of art. Thus, cognitive science does well to incorporate the explanations of aesthetics. This paper explores this general (...) framework of expansionism : a research strategy that suggests that the explanatory goals and resources of both aesthetics and cognitive science should expand to include those of the other. Two relations are considered. First, what is the relation between aesthetics and more traditional cognitive science? Second, what is the relation between aesthetics and new developments in cognitive science that de-emphasize mental representation and emphasize body and action? (shrink)

The aim of the article is to contribute to the conceptualization of creativity in education. The article makes use of the self-Bildung perspective, which is an up-to-date version of the Neo-humanistic notion of the formation of the personality in order to interpret the original notion of the 'four stages' of the creative process. The conclusion is that in this perspective creativity can be understood as a state of transcendence and a practice of taste. Finally, the article seeks to sketch out (...) a suggestion of the creative capacities that are important to cultivate in education. (shrink)

Over the last four decades arguments for and against the claim that creative hypothesis formation is based on Darwinian ‘blind’ variation have been put forward. This paper offers a new and systematic route through this long-lasting debate. It distinguishes between undirected, random, and unjustified variation, to prevent widespread confusions regarding the meaning of undirected variation. These misunderstandings concern Lamarckism, equiprobability, developmental constraints, and creative hypothesis formation. The paper then introduces and develops the standard critique that creative hypothesis formation is guided (...) rather than blind, integrating developments from contemporary research on creativity. On that basis, I discuss three compatibility arguments that have been used to answer the critique. These arguments do not deny guided variation but insist that an important analogy exists nonetheless. These compatibility arguments all fail, even though they do so for different reasons: trivialisation, conceptual confusion, and lack of evidence respectively. Revisiting the debate in this manner not only allows us to see where exactly a ‘Darwinian’ account of creative hypothesis formation goes wrong, but also to see that the debate is not about factual issues, but about the interpretation of these factual issues in Darwinian terms. (shrink)

Because Western experiments assume creativity is an individual phenomenon and rarely investigate how trust and openness might build collective resonance, flow, and creativity, the creative whole typically amounts to less than the sum of the parts. The author argues, however, that group creativity increases as members develop, especially through Wilber's (in press) transpersonal stages. He illustrates how organizational leaders have facilitated creativity through reflective practice. Presenting evidence regarding the field effects of collective consciousness, he suggests that our minds and hearts (...) interact in subtle yet powerful ways, which leaders can intuit, to support the emergence of collaborative creativity. (shrink)

Creativity in science and engineering has moral significance and deserves attention within professional ethics, in at least three areas. First, much scientific and technological creativity constitutes moral creativity because it generates moral benefits, is motivated by moral concern, and manifests virtues such as beneficence, courage, and perseverance. Second, creativity contributes to the meaning that scientists and engineers derive from their work, thereby connecting with virtues such as authenticity and also faults arising from Faustian trade-offs. Third, morally creative leadership is important (...) at all levels of science and engineering. (shrink)

We outline the rationale and preliminary results of using the State Context Property (SCOP) formalism, originally developed as a generalization of quantum mechanics, to describe the contextual manner in which concepts are evoked, used, and combined to generate meaning. The quantum formalism was developed to cope with problems arising in the description of (1) the measurement process, and (2) the generation of new states with new properties when particles become entangled. Similar problems arising with concepts motivated the formal treatment introduced (...) here. Concepts are viewed not as fixed representations, but entities existing in states of potentiality that require interaction with a context---a stimulus or another concept---to `collapse' to observable form as an exemplar, prototype, or other (possibly imaginary) instance. The stimulus situation plays the role of the measurement in physics, acting as context that induces a change of the cognitive state from superposition state to collapsed state. The collapsed state is more likely to consist of a conjunction of concepts for associative than analytic thought because more stimulus or concept properties take part in the collapse. We provide two contextual measures of conceptual distance---one using collapse probabilities and the other weighted properties---and show how they can be applied to conjunctions using the pet fish problem. (shrink)

This paper is an extended exploration of Mead's phrase the emergence of the novel. I describe and characterize emergent systems-complex dynamical systems that display behavior that cannot be predicted from a full and complete description of the component units of the system. Emergence has become an influential concept in contemporary cognitive science [A. Clark Being there, Cambridge: MIT Press], complexity theory [W. Bechtel & R.C. Richardson Discovering complexity, Princeton, NJ: Princeton University Press], artificial life [R.A. Brooks & P. Maes Artificial (...) life IV, Cambridge: MIT Press; C.G. Langton Artificial life III, Reading, MA: Addison-Wesley; C.G. Langton et al. Artificial life II, Reading, MA: Addison-Wesley), and robotics [S. Forrest Emergent computation, Cambridge: MIT Press]. I propose that novelty is a necessary property of emergent systems, and I'll explore a specific kind of emergent system: an improvisational theater ensemble. This is an example of emergence in a small social group, which I call collaborative emergence to emphasize several important contrasts with other complex systems that manifest emergence, such as connectionist networks and Alife simulations. (shrink)

Visual analogy is believed to be important in human problem solving. Yet, there are few computational models of visual analogy. In this paper, we present a preliminary computational model of visual analogy in problem solving. The model is instantiated in a computer program, called Galatea, which uses a language for representing and transferring visual information called Privlan. We describe how the computational model can account for a small slice of a cognitive-historical analysis of Maxwell’s reasoning about electromagnetism.

Epistemic diversity is widely approved of by social epistemologists. This paper asks, more specifi cally, how much epistemic diversity, and what kinds of epistemic diversity are normatively appropriate? Both laissez-faire and highly directive approaches to epistemic diversity are rejected in favor of the claim that diversity is a blunt epistemic tool. There are typically a number of diff erent options for adequate diversifi cation. The paper focuses on scientifi c domains, with particular attention to recent theories of smell.

Historically left to the margins, the topics of imagination and creativity have gained prominence in philosophy of science, challenging the once dominant distinction between ‘context of discovery’ and ‘context of justification’. The aim of this chapter is to explore imagination and creativity starting from issues within contemporary philosophy of science, making connections to these topics in other domains along the way. It discusses the recent literature on the role of imagination in models and thought experiments, and their comparison with fictions. (...) It then turns to the importance of constraints on imaginings in the scientific domain, as well as whether constraints can hinder creativity. The second part of the paper focuses on the social dimensions of science. It considers imagination and creativity of scientific communities, asks whether the institution of science promotes creativity (and whether we want it to) or if it encourages conservativeness, and ends with a reflection on the politics of imagination and creativity in science. (shrink)

Since the launch of applications such as DALL-E, Midjourney, and Stable Diffusion, generative artificial intelligence has been controversial as a tool for creating artwork. While some have presented longtermist worries about these technologies as harbingers of fully automated futures to come, more pressing is the impact of generative AI on creative labour in the present. Already, business leaders have begun replacing human artistic labour with AI-generated images. In response, the artistic community has launched a protest movement, which argues that AI (...) image generation is a kind of theft. This paper analyzes, substantiates, and critiques these arguments, concluding that AI image generators involve an unethical kind of labour theft. If correct, many other AI applications also rely upon theft. (shrink)

H.-J. Glock has made important contributions to discussions of rationality, reasons, and rules. This chapter addresses four conceptions of rationality that Glock identifies. One of these conceptions of rationality is that rationality consists in responsiveness to reasons. This chapter goes on to consider the idea that reasons became prominent in normative ethics because of their usefulness in articulating moral pluralism. The final section of the chapter connects reasons and rules and contends that both are ineliminable.

Artificial intelligence (AI) technologies are used in various domains of human activities, and one of these domains is scientific research. Now, researchers in many scientific areas try to apply AI technologies to their research and automate it. These researchers claim that the ‘automation of science’ will liberate people from non-creative tasks in scientific research, and radically change the overall state of science and technology so that large-scale innovation results. As I see it, the automation of science is remarkable in another (...) respect: since science is one of the most distinctive human activities, the tendency of automating it prompts us to reconsider the aspects of our humanity itself. One of these aspects is concerned with human creativity, on which this article focuses. In this article, I address two questions concerning the automation of science: first, ‘Can AI makes creative discovery?’; second, ‘What implications may the automation of science have on science and society?’. Scientific discovery is said to be one of the most creative phases of scientific research. I show that, though there are no reasons in principle why AI could not make creative discovery, we do not at present have enough knowledge how to realize it. If the automation of science nevertheless proceeds, the cultural values science as a creative activity has might be reduced, and it might alter the state of scientific community and its relationship with society in some undesirable way. Therefore, I conclude, we need to specify desirable ways of introducing AI technologies into science and devise measures against demerits of automating science. (shrink)

Perhaps a part of what makes expertise so inspiring to the curious researcher is the possibility of appropriating the structural components of skilled action to draw a roadmap towards their achievement that anyone might be able to follow. Accordingly, the purpose of this essay is to shed light upon the role that creativity plays in the production and environment of skilled action to that foregoing end. In doing so, I suggest that the lessons to be learned from recent empirical research (...) on creativity has much to offer to the cognitive science of skill and expertise. Experts are able to bring their intelligence to bear in controlling fast and seemingly automatic actions by utilizing a form of control often called ‘intelligent automaticity.’ In this spirit, I argue that the environment of intelligently automatic action control curates a similarly ideal environment for the processes of creativity. Moreover, insofar as creativity is ideally operative within the environment of expert action control, I argue further that creativity functions as one representative form of ‘intelligence’ embedded within otherwise fluid, and automatic expert actions. Creativity is able to do so even without conscious representation through the powers of incubated cognition. (shrink)

Stratified properties such as ‘happy unhappiness’, ‘ungrounded ground’, ‘fortunate misfortune’, and evidently ‘true falsity’ may generate dialetheias (true contradictions). The aim of the article is to show that if this is the case, then we will have a special, conjunctive, kind of dialetheia: a true state description of the form ‘Fa and not Fa’ (for some property F and object a), wherein the two conjuncts, separately taken, are to be held untrue. The particular focus of the article is on happy (...) unhappiness: people suffering from (or enjoying) happy unhappiness (if there is some situation or state of mind of this kind) cannot be truly said ‘happy’ or ‘unhappy’, but we can say they are both. In the first section three cases of conjunctive stratification are presented; in the second section the logic of stratified contradictions is explored. The last section focuses on eudemonistic ascriptions: stated that a is happy to be unhappy (or unhappy to be happy), should we say a is happy? unhappy? both? neither? (shrink)

This paper presents an emerging aspect of intentionality through recent Artificial Intelligence (AI) developments in art and design. Our main thesis is that, if we focus just on the outcome of the artistic process, the intentionality of the artist does not have any relevance. Intention is measured as a result of actions regardless of whether they are human-based or not as long as there is an esthetical value intersubjectively acknowledged. In other words, what matters is the ‘intentio’ embedded in the (...) work of art (the output) rather than the ‘intendere’ (the process). By considering the former aspect, intentionality becomes free of human intervention, therefore 'unintentional'. This thesis is supported through a range of examples related to AI in general and AI art in particular. However, in the case of a self-driving vehicle, the macro-goal of the system is fixed by humans, even though the AI system itself will take care of decomposing the macro-goal into a set of micro-goals and take the corresponding decisions. In the case of art, the system does not need to have any exterior goal to the extent that art is pure freedom of expression, as many philosophers have acknowledged. In this sense, the decisions of any AI system generating art or design are independent of humans and must be judged only on the ground of the final outcome. A work of art will be judged ‘artistic’ to the extent that humans will recognize an artistic intent in the work itself. In particular, the introduction of random processes makes an AI-generated artwork fully independent of human creativity. (shrink)

An intuitive view is that creativity involves bringing together what is already known and familiar in a way that produces something new. In cognitive science, this intuition is typically formalized in terms of computational processes that combine or associate internally represented information. From this computationalist perspective, it is hard to imagine how non-representational approaches in embodied cognitive science could shed light on creativity, especially when it comes to abstract conceptual reasoning of the kind scientists so often engage in. The present (...) article offers an entry point to addressing this challenge. The scientific project of embodied cognitive science is a continuation of work in the functionalist tradition in psychology developed over a century ago by William James and John Dewey, among others. The focus here is on how functionalist views on the nature of mind, thought, and experience offer an alternative starting point for cognitive science in general, and for the cognitive science of scientific creativity in particular. The result may seem paradoxical. On the one hand, the article claims that the functionalist conceptual framework motivates rejecting mainstream cognitive views of creativity as the combination or association of ideas. On the other hand, however, the strategy adopted here—namely, revisiting ideas from functionalist psychology to inform current scientific theorizing—can itself be described as a process of arriving at new, creative ideas from combinations of old ones. As is shown here, a proper understanding of cognition in light of the functionalist tradition resolves the seeming tension between these two claims. (shrink)

This paper explores some aspects of the scientific study of creativity by focusing on intentional attempts to create instances of linguistic humour. We argue that this sort of creativity can be accounted for within an influential cognitive approach but that said framework is not a recipe for producing novel instances of humour and may even preclude them. We start by identifying three great puzzles that arise when trying to pin down the core traits of creativity, and some of the ways (...) taken by Cognitive Studies in this quest. We then consider what we call 'creative humour', which exhibits the core features of the aforesaid creativity. We then explore how a key cognitive approach to human communication can account for creative humour. We end by drawing lessons and highlighting limitations to cognitive approaches to creativity. (shrink)

[Both this and the Castilian versions are translations of the editor from a paper originally written in English that will appear in the Anual Review 6]. Aquest article explora alguns aspectes de l'estudi científic de la creativitat centrant-se en la creació d'humor lingüístic intencionat. Sostenim que aquest tipus de creativitat pot explicar-se dins d'un enfocament cognitiu influent, però que aquest marc no és una recepta per a produir exemples nous d'humor i fins i tot pot evitar-los. Començarem identificant tres grans (...) problemes que sorgeixen en tractar de precisar els trets centrals de la creativitat i algunes de les formes adoptades pels estudis cognitius en aquesta cerca. Després considerarem què anomenem «humor creatiu», que exhibeix les característiques centrals de la creativitat abans esmentada. Després investigarem com un enfocament cognitiu clau per a la comunicació humana pot explicar l'humor creatiu. Acaberem extraient conclusions i destacant les limitacions dels enfocaments cognitius per a entendre la creativitat. (shrink)

[Both this and the Valencian versions are translations of the editor from a paper originally written in English that will appear in the Anual Review 6]. Este artículo explora algunos aspectos del estudio científico de la creatividad centrándose en la creación de humor lingüístico intencionado. Sostenemos que este tipo de creatividad puede explicarse dentro de un enfoque cognitivo influyente, pero que dicho marco no es una receta para producir ejemplos novedosos de humor, e incluso puede excluirlos. Comenzaremos identificando tres grandes (...) problemas que surgen al tratar de precisar los rasgos centrales de la creatividad y algunas de las formas adoptadas por los estudios cognitivos en esta búsqueda. Luego consideraremos a qué llamamos «humor creativo», que exhibe las características centrales de la creatividad antes mencionada. A continuación exploraremos cómo un enfoque cognitivo clave para la comunicación humana puede explicar el humor creativo. Por último, extraeremos conclusiones y destacaremos las limitaciones de los enfoques cognitivos para entender la creatividad. (shrink)