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相关论文: How Did Humans Become So Creative? A Computational…

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Creative processes are typically divided into three types: combinatorial, exploratory, and transformational. Here, we provide a graphical theory of transformational scientific creativity, synthesizing Boden's insight that transformational…

人工智能 · 计算机科学 2025-05-22 Samuel Schapiro , Jonah Black , Lav R. Varshney

It is clear that the current attempts at using algorithms to create artificial neural networks have had mixed success at best when it comes to creating large networks and/or complex behavior. This should not be unexpected, as creating an…

神经与进化计算 · 计算机科学 2014-08-06 Sebastian Risi , Jinhong Zhang , Rasmus Taarnby , Peter Greve , Jan Piskur , Antonios Liapis , Julian Togelius

Human creativity is the ultimate driving force behind scientific progress. While the building blocks of innovations are often embodied in existing knowledge, it is creativity that blends seemingly disparate ideas. Existing studies have made…

社会与信息网络 · 计算机科学 2016-12-06 Xinyang Zhang , Dashun Wang , Ting Wang

Evolution gave rise to creatures that are arguably more sophisticated than the greatest human-designed systems. This feat has inspired computer scientists since the advent of computing and led to optimization tools that can evolve complex…

神经与进化计算 · 计算机科学 2020-12-23 Jean-Baptiste Mouret

We present ReTracing, a multi-agent embodied performance art that adopts an archaeological approach to examine how artificial intelligence shapes, constrains, and produces bodily movement. Drawing from science-fiction novels, the project…

计算机视觉与模式识别 · 计算机科学 2026-02-13 Yitong Wang , Yue Yao

Knowledge built culturally across generations allows humans to learn far more than an individual could glean from their own experience in a lifetime. Cultural knowledge in turn rests on language: language is the richest record of what…

Nowadays, technological advances have influenced all human activities, creating new dynamics and ways of communication. In this context, some artists have incorporated these advances in their creative process, giving rise to unique…

人机交互 · 计算机科学 2021-08-13 Ricardo Andres Diaz Rincon

This paper takes a two-pronged approach to investigate the phenomenon of cross-domain influence on creativity. We present a study in which creative individuals were asked to list influences on their creative work. More than half the listed…

神经元与认知 · 定量生物学 2019-07-17 Liane Gabora , Nicole Carbert

This piece plays with the idea of the Computocene: an era defined not merely by the ubiquity of computers, but by their deepening role in how we observe, interpret, and make sense of the world. Rather than emphasizing automation, speed,…

计算机与社会 · 计算机科学 2025-05-29 Simone Severini

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…

神经元与认知 · 定量生物学 2019-07-09 Alexandra Maland , Liane Gabora

Neural networks have long been used to model human intelligence, capturing elements of behavior and cognition, and their neural basis. Recent advancements in deep learning have enabled neural network models to reach and even surpass human…

机器学习 · 计算机科学 2023-03-30 Andrew J. Nam , James L. McClelland

Cognition and language seem closely related to the human cognitive process, although they have not been studied and investigated in detail. Our brain is too complex to fully comprehend the structures and connectivity, as well as its…

神经元与认知 · 定量生物学 2022-10-26 Zang-Hee Cho , Sun-Ha Paek , Young-Bo Kim , Taigyoun Cho , Hyejin Jeong , Haigun Lee

Thinking is one of the most interesting mental processes. Its complexity is sometimes simplified and its different manifestations are classified into normal and abnormal, like the delusional and disorganized thought or the creative one. The…

神经与进化计算 · 计算机科学 2007-05-23 Daniele Quintella Mendes , Luis Alfredo Vidal de Carvalho

Humans are expert explorers. Understanding the computational cognitive mechanisms that support this efficiency can advance the study of the human mind and enable more efficient exploration algorithms. We hypothesize that humans explore new…

机器学习 · 计算机科学 2022-03-21 Sugandha Sharma , Aidan Curtis , Marta Kryven , Josh Tenenbaum , Ila Fiete

Humans stand alone in terms of their potential to collectively and cumulatively change their culture in an open-ended manner. This open-endedness provides societies with the ability to continually expand their resources and to increase…

神经与进化计算 · 计算机科学 2026-01-06 James Winters , Mathieu Charbonneau

Empirical evidence shows that human behaviour often deviates from game-theoretical rationality. For instance, humans may hold unrealistic expectations about future outcomes. As the evolutionary roots of such biases remain unclear, we…

多智能体系统 · 计算机科学 2025-08-29 Marco Saponara , Elias Fernandez Domingos , Jorge M. Pacheco , Tom Lenaerts

Human decision-making deviates from the optimal solution, that maximizes cumulative rewards, in many situations. Here we approach this discrepancy from the perspective of bounded rationality and our goal is to provide a justification for…

机器学习 · 计算机科学 2019-05-13 Marcel Binz , Dominik Endres

In lieu of an abstract here is the first paragraph: No other species remotely approaches the human capacity for the cultural evolution of novelty that is accumulative, adaptive, and open-ended (i.e., with no a priori limit on the size or…

神经元与认知 · 定量生物学 2021-07-22 Liane Gabora , Cameron M. Smith

Human collaboration with systems within the Computational Creativity (CC) field is often restricted to shallow interactions, where the creative processes, of systems and humans alike, are carried out in isolation, without any (or little)…

Humans can pursue a near-infinite variety of tasks, but typically can only pursue a small number at the same time. We hypothesize that humans leverage experience on one task to preemptively learn solutions to other tasks that were…

机器学习 · 计算机科学 2026-05-06 Wilka Carvalho , Sam Hall-McMaster , Honglak Lee , Samuel J. Gershman