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Related papers: How cumulative is technological knowledge?

200 papers

Intelligence can be understood as an agent's ability to predict its environment's dynamic by a level of precision which allows it to effectively foresee opportunities and threats. Under the assumption that such intelligence relies on a…

Artificial Intelligence · Computer Science 2015-08-12 Christoph Jahnz

In this paper, I endeavour to construct a new model, by extending the classic exogenous economic growth model by including a measurement which tries to explain and quantify the size of technological innovation ( A ) endogenously. I do not…

Econometrics · Economics 2018-05-03 Murad Kasim

This contribution examines the current controversy over research productivity. There are two sides in this controversy. Using extensive data from several industries and areas of research, one side argues that research productivity is…

General Economics · Economics 2022-03-03 Gennady Shkliarevsky

The concept of progress clearly percolates the activities in science, technology, economy and society. It is a driving vector (probably the main vector) of our daily activity as researchers. The InThisGen initiative, proudly displayed in…

Computers and Society · Computer Science 2024-09-10 Joaquin Luque

Science and technology are becoming increasingly collaborative. This paper aims to explore the factors and mechanisms that impact the dynamic changes of collaborative innovation networks. We consider both collaborative interactions of…

Social and Information Networks · Computer Science 2023-11-13 Hongshu Chen , Qianqian Jin , Xuefeng Wang

This paper introduces a novel method for optimizing learning rates in machine learning. A previously unrecognized proportionality between learning rates and dataset sizes is discovered, providing valuable insights into how dataset scale…

Machine Learning · Computer Science 2025-05-21 Nathan Faraj

In artificial intelligence (AI), knowledge is the information required by an intelligent system to accomplish tasks. While traditional knowledge bases use discrete, symbolic representations, detecting knowledge encoded in the continuous…

Computation and Language · Computer Science 2021-04-20 Gang Chen , Maosong Sun , Yang Liu

We introduce a model for the emergence of innovations, in which cognitive processes are described as random walks on the network of links among ideas or concepts, and an innovation corresponds to the first visit of a node. The transition…

Physics and Society · Physics 2018-01-25 Iacopo Iacopini , Staša Milojević , Vito Latora

Fighting misinformation is a challenging, yet crucial, task. Despite the growing number of experts being involved in manual fact-checking, this activity is time-consuming and cannot keep up with the ever-increasing amount of Fake News…

Computation and Language · Computer Science 2023-08-30 Daniel Russo , Serra Sinem Tekiroglu , Marco Guerini

This paper demonstrates emergence of computational creativity in the field of music. Different aspects of creativity such as producer, process, product and press are studied and formulated. Different notions of computational creativity such…

Sound · Computer Science 2019-04-30 Subodh Deolekar , Siby Abraham

This paper investigates the phenomenon of manufacturing know-how. First, the abstract notion of knowledge is discussed, and a terminological basis is introduced to treat know-how as a kind of knowledge. Next, a brief survey of the recently…

Artificial Intelligence · Computer Science 2007-05-23 V. V. Kryssanov , V. A. Abramov , Y. Fukuda , K. Konishi

A key challenge when trying to understand innovation is that it is a dynamic, ongoing process, which can be highly contingent on ephemeral factors such as culture, economics, or luck. This means that any analysis of the real-world process…

Artificial Intelligence · Computer Science 2023-10-16 Paul Kinsler

Participants in recent discussions of AI-related issues ranging from intelligence explosion to technological unemployment have made diverse claims about the nature, pace, and drivers of progress in AI. However, these theories are rarely…

Artificial Intelligence · Computer Science 2015-12-21 Miles Brundage

There are both benefits and drawbacks to cultural diversity. It can lead to friction and exacerbate differences. However, as with biological diversity, cultural diversity is valuable in times of upheaval; if a previously effective solution…

Neurons and Cognition · Quantitative Biology 2019-07-19 Liane Gabora , Stefan Leijnen

One new thing often leads to another. Such correlated novelties are a familiar part of daily life. They are also thought to be fundamental to the evolution of biological systems, human society, and technology. By opening new possibilities,…

Physics and Society · Physics 2013-10-09 F. Tria , V. Loreto , V. D. P. Servedio , S. H. Strogatz

Online traces of human activity offer novel opportunities to study the dynamics of complex knowledge exchange networks, and in particular how the relationship between demand and supply of information is mediated by competition for our…

Physics and Society · Physics 2015-05-21 Giovanni Luca Ciampaglia , Alessandro Flammini , Filippo Menczer

Recent advances in the quantitative, computational methodology for the modeling and analysis of heterogeneous large-scale data are leading to new opportunities for understanding of human behaviors and faculties, including the manifestation…

Social and Information Networks · Computer Science 2019-05-22 Doheum Park , Juhan Nam , Juyong Park

The shift from individual effort to collaborative output has benefited science, with scientific work pursued collaboratively having increasingly led to more highly impactful research than that pursued individually. However, understanding of…

Digital Libraries · Computer Science 2018-06-13 Yuxiao Dong , Hao Ma , Jie Tang , Kuansan Wang

Finding reliable data to inform decisions about technology for global development remains a challenge. Easily accessible "Knowledge platforms" are a way to curate and standardize information about technology for development. Three…

Computers and Society · Computer Science 2016-09-29 Rob Goodier , Iana Aranda , Laura MacDonald

Quantitative technology forecasting uses quantitative methods to understand and project technological changes. It is a broad field encompassing many different techniques and has been applied to a vast range of technologies. A widely used…