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Related papers: Anatomy of Scientific Evolution

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Large Language Models (LLMs) have emerged as a transformative power in enhancing natural language comprehension, representing a significant stride toward artificial general intelligence. The application of LLMs extends beyond conventional…

Nature has inspired various ground-breaking technological developments in applications ranging from robotics to aerospace engineering and the manufacturing of medical devices. However, accessing the information captured in scientific…

Computation and Language · Computer Science 2020-05-27 Ruben Kruiper , Julian F. V. Vincent , Jessica Chen-Burger , Marc P. Y. Desmulliez , Ioannis Konstas

Machine learning with application to questions in the physical sciences has become a widely used tool, successfully applied to classification, regression and optimization tasks in many areas. Research focus mostly lies in improving the…

Machine Learning · Computer Science 2021-07-20 Pascal Friederich , Mario Krenn , Isaac Tamblyn , Alan Aspuru-Guzik

Describing the evolution of science is a salient work not only for revealing the scientific trend but also for establishing a scientific classification system. In this paper, we investigate the evolution of science by observing the…

Physics and Society · Physics 2023-01-06 Taekho You , Oh-Hyun Kwon , Jisung Yoon , Woo-Sung Jung

Emerging data analysis involves the ingestion and exploration of new data sets, application of complex functions, and frequent query revisions based on observing prior query answers. We call this new type of analysis evolutionary analytics…

Databases · Computer Science 2013-06-28 Jeff LeFevre , Jagan Sankaranarayanan , Hakan Hacigumus , Junichi Tatemura , Neoklis Polyzotis

To extract essential information from complex data, computer scientists have been developing machine learning models that learn low-dimensional representation mode. From such advances in machine learning research, not only computer…

Artificial Intelligence · Computer Science 2024-06-18 Akira Matsui , Emilio Ferrara

We analyse the unreduced, nonperturbative dynamics of an arbitrary many-body interaction process with the help of the generalised effective potential method and reveal the well-specified universal origin of change (emergence), time and…

General Physics · Physics 2013-10-08 Andrei P. Kirilyuk

Generative AI systems have entered everyday academic, professional, and personal life with remarkable speed, yet most users encounter them as mysterious artifacts rather than intelligible systems. This chapter discusses large language…

Computers and Society · Computer Science 2026-04-21 John T. Behrens

The selection of research topics by scientists can be viewed as an exploration process conducted by individuals with cognitive limitations traversing a complex cognitive landscape influenced by both individual and social factors. While…

Physics and Society · Physics 2023-12-14 Feifan Liu , Shuang Zhang , Haoxiang Xia

Consistent confirmations obtained independently of each other lend credibility to a scientific result. We refer to results satisfying this consistency as reproducible and assume that reproducibility is a desirable property of scientific…

Other Statistics · Statistics 2019-06-19 Berna Devezer , Luis G. Nardin , Bert Baumgaertner , Erkan Buzbas

Within the past few decades we have witnessed digital revolution, which moved scholarly communication to electronic media and also resulted in a substantial increase in its volume. Nowadays keeping track with the latest scientific…

Digital Libraries · Computer Science 2017-10-30 Dominika Tkaczyk

Because human cognition is creative and socially situated, knowledge accumulates, diffuses, and gets applied in new contexts, generating cultural analogs of phenomena observed in population genetics such as adaptation and drift. It is…

Adaptation and Self-Organizing Systems · Physics 2013-08-26 Liane Gabora

Community effects on the behaviour of individuals, the community itself and other communities can be observed in a wide range of applications. This is true in scientific research, where communities of researchers have increasingly to…

Social and Information Networks · Computer Science 2010-12-01 Václav Belák , Marcel Karnstedt , Conor Hayes

Concomitant with the evolution of biological diversity must have been the evolution of mechanisms that facilitate evolution, due to the essentially infinite complexity of protein sequence space. We describe how evolvability can be an object…

Populations and Evolution · Quantitative Biology 2009-11-10 David J. Earl , Michael W. Deem

We represent a process of learning by using bit strings, where 1-bits represent the knowledge acquired by individuals. Two ways of learning are considered: individual learning by trial-and-error; and social learning by copying knowledge…

Populations and Evolution · Quantitative Biology 2007-05-23 Armando Ticona Bustillos , Paulo Murilo C. de Oliveira

Antibiotic resistance is a growing public health problem. To gain a fundamental understanding of resistance evolution, a combination of systematic experimental and theoretical approaches is required. Evolution experiments combined with…

Populations and Evolution · Quantitative Biology 2021-05-24 Gabriela Petrungaro , Yuval Mulla , Tobias Bollenbach

Social network analysis has long been an untiring topic of sociology. However, until the era of information technology, the availability of data, mainly collected by the traditional method of personal survey, was highly limited and…

Physics and Society · Physics 2010-07-23 Sang Hoon Lee , Pan-Jun Kim , Yong-Yeol Ahn , Hawoong Jeong

Science is essential to innovation and economic prosperity. Although studies have shown that national scientific development is affected by geographic, historic, and economic factors, it remains unclear whether there are universal…

Social and Information Networks · Computer Science 2024-05-27 Lili Miao , Dakota Murray , Woo-Sung Jung , Vincent Larivière , Cassidy R. Sugimoto , Yong-Yeol Ahn

It is increasingly evident that there is more to biological evolution than natural selection; moreover, the concept of evolution is not limited to biology. We propose an integrative framework for characterizing how entities evolve, in which…

Populations and Evolution · Quantitative Biology 2007-05-23 Liane Gabora , Diederik Aerts

Artificial intelligence (AI) is increasingly embedded in scientific discovery, yet whether it can anticipate scientific progress remains unclear. To study this question, we introduce a temporally grounded evaluation framework for…

Artificial Intelligence · Computer Science 2026-05-22 Sean Wu , Pan Lu , Yupeng Chen , Jonathan Bragg , Yutaro Yamada , Peter Clark , David Clifton , Philip Torr , James Zou , Junchi Yu