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How does scientific knowledge grow? This question has occupied a central place in the philosophy of science, stimulating heated debates, but yielding no clear consensus. Many explanations can be understood in terms of whether and how they…

Social and Information Networks · Computer Science 2024-11-05 Kara Kedrick , Ekaterina Levitskaya , Russell J. Funk

Collective memory is a common representation of the past shared by a group of people that modulates its identity. Recent literature on computational social science quantifies collective memories using expressions of those memories…

Physics and Society · Physics 2026-02-27 Cristian Candia

Many species engage in acts that could be called creative. However, human creativity is unique in that it has transformed our planet. Given that the anatomy of the human brain is not so different from that of the great apes, what enables us…

Neurons and Cognition · Quantitative Biology 2019-07-11 Liane Gabora , Scott Barry Kaufman

Conscious awareness refers to the association of information processing in the brain that is accompanied by subjective, reportable experiences. Current models of conscious access propose that sufficiently strong sensory stimuli ignite a…

Neurons and Cognition · Quantitative Biology 2017-09-04 Enzo Tagliazucchi

This paper summarizes efforts to computationally model two transitions in the evolution of human creativity: its origins about two million years ago, and the 'big bang' of creativity about 50,000 years ago. Using a computational model of…

Neural and Evolutionary Computing · Computer Science 2019-07-11 Liane Gabora , Steve DiPaola

Memory is inherently entangled with prediction and planning. Flexible behavior in biological and artificial agents depends on the interplay of learning from the past and predicting the future in ever-changing environments. This chapter…

Artificial Intelligence · Computer Science 2024-02-21 Ida Momennejad

Cognitive processes are realized across an extraordinary range of natural, artificial, and hybrid systems, yet there is no unified framework for comparing their forms, limits, and unrealized possibilities. Here, we propose a cognition space…

Neurons and Cognition · Quantitative Biology 2026-01-21 Ricard Solé , Luis F Seoane , Jordi Pla-Mauri , Michael Timothy Bennett , Michael E. Hochberg , Michael Levin

Many creativity methods follow similar structures and principles. Design Patterns capture such invariants of proven good practices and discuss why, when and how creative thinking methods match various situations of collaboration. Moreover…

Computers and Society · Computer Science 2015-03-04 Christian Kohls

Semantic memory is the subsystem of human memory that stores knowledge of concepts or meanings, as opposed to life specific experiences. The organization of concepts within semantic memory can be understood as a semantic network, where the…

Humans are adept at uncovering abstract associations in the world around them, yet the underlying mechanisms remain poorly understood. Intuitively, learning the higher-order structure of statistical relationships should involve complex…

Neurons and Cognition · Quantitative Biology 2020-03-26 Christopher W. Lynn , Ari E. Kahn , Nathaniel Nyema , Danielle S. Bassett

Working memory often appears to exceed its basic span by organizing items into compact representations called chunks. Chunking can be learned over time for familiar inputs; however, it can also arise spontaneously for novel stimuli. Such…

Neurons and Cognition · Quantitative Biology 2025-09-19 Weishun Zhong , Mikhail Katkov , Misha Tsodyks

The neural mechanism of memory has a very close relation with the problem of representation in artificial intelligence. In this paper a computational model was proposed to simulate the network of neurons in brain and how they process…

Neurons and Cognition · Quantitative Biology 2020-12-02 Hui Wei

There are many philosophies and theories on what creativity is and how it works, but one popular idea is that of variations on a theme and intersection of concepts. This literature review explores philosophical proposals of how creativity…

Neurons and Cognition · Quantitative Biology 2023-05-25 Rohan Agarwal

Models of the mind are based on the possibility of computing in brain microtubules. From this point of view, information processing is the fundamental issue for understanding the brain mechanisms that produce consciousness. The cytoskeleton…

Subcellular Processes · Quantitative Biology 2007-05-23 Jean Faber , Renato Portugal , Luiz Pinguelli Rosa

There are various models proposed on how knowledge is generated in the human brain including the semantic networks model. Although this model has been widely studied and even computational models are presented, but, due to various limits…

Artificial Intelligence · Computer Science 2025-01-28 Jamshid Ghasimi , Nazanin Movarraei

Over the past decade, AI has made a remarkable progress due to recently revived Deep Learning technology. Deep Learning enables to process large amounts of data using simplified neuron networks that simulate the way in which the brain…

Artificial Intelligence · Computer Science 2015-05-26 Emanuel Diamant

If scientific discovery is one of the main driving forces of human progress, insight is the fuel for the engine, which has long attracted behavior-level research to understand and model its underlying cognitive process. However, current…

Artificial Intelligence · Computer Science 2022-12-06 Yu-Zhe Shi , Manjie Xu , Wenjuan Han , Yixin Zhu

The mental lexicon is a complex cognitive system representing information about the words/concepts that one knows. Decades of psychological experiments have shown that conceptual associations across multiple, interactive cognitive levels…

Computation and Language · Computer Science 2022-10-04 Massimo Stella , Salvatore Citraro , Giulio Rossetti , Daniele Marinazzo , Yoed N. Kenett , Michael S. Vitevitch

Recent progress in multimodal reasoning has been significantly advanced by textual Chain-of-Thought (CoT), a paradigm where models conduct reasoning within language. This text-centric approach, however, treats vision as a static, initial…

Computer Vision and Pattern Recognition · Computer Science 2025-07-04 Zhaochen Su , Peng Xia , Hangyu Guo , Zhenhua Liu , Yan Ma , Xiaoye Qu , Jiaqi Liu , Yanshu Li , Kaide Zeng , Zhengyuan Yang , Linjie Li , Yu Cheng , Heng Ji , Junxian He , Yi R. Fung

Understanding of the phenomena of vision and thought require clarification of the general mechanism of perception. So far, philosophical inquiries and scientific investigations have not been able to address clearly the mysteries surrounding…

Neurons and Cognition · Quantitative Biology 2019-09-16 Jahan N. Schad
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