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Creativity, defined as the tendency to generate or recognize new ideas or alternatives and to make connections between seemingly unrelated phenomena, is too vast a horizon to be summed up in such a simple sentence. The extreme abstractness…

Neurons and Cognition · Quantitative Biology 2017-02-28 Souparno Roy , Archi Banerjee , Ranjan Sengupta , Dipak Ghosh

This paper proposes an explanation of the cognitive change that occurs as the creative process proceeds. During the initial, intuitive phase, each thought activates, and potentially retrieves information from, a large region containing many…

Neurons and Cognition · Quantitative Biology 2019-07-09 Liane Gabora

According to the honing theory of creativity, creative thought works not on individually considered, discrete, predefined representations but on a contextually-elicited amalgam of items which exist in a state of potentiality and may not be…

Neurons and Cognition · Quantitative Biology 2015-01-20 Liane Gabora

Creative thought is conventionally believed to involve searching memory and generating multiple independent candidate ideas followed by selection and refinement of the most promising. Honing theory, which grew out of the quantum approach to…

Neurons and Cognition · Quantitative Biology 2019-12-02 Victoria S. Scotney , Jasmine Schwartz , Nicole Carbert , Adam Saab , Liane Gabora

Immersion in a creative task can be an intimate experience. It can feel like a mystery: intangible, inexplicable, and beyond the reach of science. However, science is making exciting headway into understanding creativity. While the mind of…

Neurons and Cognition · Quantitative Biology 2019-07-09 Alexandra Maland , Liane Gabora

Creativity is thought to involve searching and selecting amongst multiple discrete idea candidates. Honing theory predicts that it involves actualizing the potentiality of as few as a single ill-defined idea by viewing it from different…

Neurons and Cognition · Quantitative Biology 2014-09-01 Nicole Carbert , Liane Gabora , Jasmine Schwartz , Apara Ranjan

Dual process models of cognition suggest there are two kinds of thought: rapid, automatic Type 1 processes, and effortful, controlled Type 2 processes. Models of creative thinking also distinguish between two sets of processes: those…

Neurons and Cognition · Quantitative Biology 2019-07-17 Paul Sowden , Andrew Pringle , Liane Gabora

This paper explores the paradoxical nature of computational creativity, focusing on the inherent limitations of closed digital systems in emulating the open-ended, dynamic process of human creativity. Through a comprehensive analysis, we…

Human-Computer Interaction · Computer Science 2024-04-25 Ömer Akin , Yuning Wu

Creativity is perhaps what most differentiates humans from other species. It involves the capacity to shift between divergent and convergent modes of thought in response to task demands. Divergent thought has been characterized as the kind…

Neurons and Cognition · Quantitative Biology 2019-12-03 Liane Gabora

A key component of creativity is associative reasoning: the ability to draw novel yet meaningful connections between concepts. We introduce CREATE, a benchmark designed to evaluate models' capacity for creative associative reasoning. CREATE…

Computation and Language · Computer Science 2026-05-12 Manya Wadhwa , Tiasa Singha Roy , Harvey Lederman , Junyi Jessy Li , Greg Durrett

Selection theory requires multiple, distinct, simultaneously-actualized states. In cognition, each thought or cognitive state changes the 'selection pressure' against which the next is evaluated; they are not simultaneously selected…

Adaptation and Self-Organizing Systems · Physics 2007-05-23 Liane Gabora

Artificial intelligence (AI) systems capable of generating creative outputs are reshaping our understanding of creativity. This shift presents an opportunity for creativity researchers to reevaluate the key components of the creative…

Computers and Society · Computer Science 2024-12-09 Jaan Aru

Human creativity is often described as the mental process of combining associative elements into a new form, but emerging computational creativity algorithms may not operate in this manner. Here we develop an inverse problem formulation to…

Artificial Intelligence · Computer Science 2020-10-15 Lav R. Varshney , Nazneen Fatema Rajani , Richard Socher

Large language models (LLMs) have significant potential for generating educational questions and problems, enabling educators to create large-scale learning materials. However, LLMs are fundamentally limited by the ``Artificial Hivemind''…

Artificial Intelligence · Computer Science 2025-12-30 Manh Hung Nguyen , Adish Singla

Creativity is a deeply debated topic, as this concept is arguably quintessential to our humanity. Across different epochs, it has been infused with an extensive variety of meanings relevant to that era. Along these, the evolution of…

Computers and Society · Computer Science 2020-08-14 Philippe Esling , Ninon Devis

Artificial Intelligence (AI), and in particular generative models, are transformative tools for knowledge work. They problematise notions of creativity, originality, plagiarism, the attribution of credit, and copyright ownership. Critics of…

Human-Computer Interaction · Computer Science 2023-07-21 Advait Sarkar

Divergent thinking in the ideation stage of creative problem-solving demands that individuals explore a broad design space. Yet this exploration rarely follows a neat, linear sequence; problem-solvers constantly shift among searching,…

Human-Computer Interaction · Computer Science 2025-09-26 Yaqing Yang , Vikram Mohanty , Nikolas Martelaro , Aniket Kittur , Yan-Ying Chen , Matthew K. Hong

Convergent thought is defined and measured in terms of the ability to perform on tasks where there is a single correct solution, and divergent thought is defined and measured in terms of the ability to generate multiple different solutions.…

Neurons and Cognition · Quantitative Biology 2019-07-09 Liane Gabora

Human creativity is a multifaceted phenomenon with cognitive, attitudinal, intrapersonal interpersonal, practical, socio-cultural, economic, and environmental aspects. It can be challenging to incorporate creativity in classrooms. Teachers…

Neurons and Cognition · Quantitative Biology 2013-10-14 Apara Ranjan , Liane Gabora

We begin this chapter with the bold claim that it provides a neuroscientific explanation of the magic of creativity. Creativity presents a formidable challenge for neuroscience. Neuroscience generally involves studying what happens in the…

Neurons and Cognition · Quantitative Biology 2019-07-09 Liane Gabora , Apara Ranjan
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