The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.

• Authors : Lehman, Joel¹ (AUTHOR) ; Clune, Jeff^1,2 (AUTHOR) ; Misevic, Dusan^1,3 (AUTHOR)

Subjects: *EVOLUTIONARY computation; *SCIENTIFIC community; *COMMUNITY life

• Source: Artificial Life. Spring2020, Vol. 26 Issue 2, p274-306. 33p.

• Abstract: Evolution provides a creative fount of complex and subtle adaptations that often surprise the scientists who discover them. However, the creativity of evolution is not ... Copyright of Artificial Life is the property of MIT Press and its content may not be copied or emailed to ...

Record details

Cultural Viz: An Aesthetic Approach to Cultural Analytics.

• Authors : Reyes, Everardo ; Manovich, Lev

Subjects: *VISUALIZATION; *AESTHETICS; *MACHINE learning

• Source: Leonardo. Aug2020, Vol. 53 Issue 4, p408-414. 7p.

• Abstract: Cultural Analytics (C.A.) is an approach for analyzing media and digital culture using data methods and visual computing techniques. This ... Copyright of Leonardo is the property of MIT Press and its content may not be copied or emailed to multiple ...

Record details

Human-Interpretable Feature Pattern Classification System Using Learning Classifier Systems.

• Authors : Ebadi, Toktam¹ ; Kukenys, Ignas¹ ; Browne, Will N.¹

Subjects: *LEARNING classifier systems; *GENETIC algorithms; *DIGITAL image processing

• Source: Evolutionary Computation. Winter2014, Vol. 22 Issue 4, p629-650. 22p.

• Abstract: Image pattern classification is a challenging task due to the large search space of pixel data. Supervised and subsymbolic approaches have proven accurate in Copyright of Evolutionary Computation is the property of MIT Press and its content may not be copied or emailed to ...

Record details

Number-related Brain Potentials Are Differentially Affected by Mapping Novel Symbols on Small versus Large Quantities in a Number Learning Task.

• Authors : van den Berg, Fabian C. G.¹ (AUTHOR); de Weerd, Peter¹ (AUTHOR); Jonkman, Lisa M.¹ (AUTHOR)

Subjects: *LEARNING; *ADULT learning; *SIGNS & symbols

• Source: Journal of Cognitive Neuroscience. Jul2020, Vol. 32 Issue 7, p1263-1275. 13p. 1 Diagram, 1 Chart, 2 Graphs.

• Abstract: The nature of the mapping process that imbues number symbols with their numerical meaning—known as the "symbol-grounding process"—remains poorly understood and the topic ... Copyright of Journal of Cognitive Neuroscience is the property of MIT Press and its content may not be copied or ...

Record details

Learning from Weaving for Digital Fabrication in Architecture.

• Authors : Muslimin, Rizal¹

Subjects: *WEAVING; *WEAVERS; *ARCHITECTURAL design

• Source: Leonardo. 2010, Vol. 43 Issue 4, p340-349. 10p.

• Abstract: This project restructures weaving performance in architecture by analyzing the tacit knowledge of traditional weavers through perceptual study and converting it into an explicit rule ... Copyright of Leonardo is the property of MIT Press and its content may not be copied or emailed to multiple ...

Record details

Cocreation across Spaces of Uncertainty: Interdisciplinary Research and Collaborative Learning.

• Authors : Clements, Mark¹ ; Lange, Silke²

Subjects: *INTERDISCIPLINARY research; *COLLABORATIVE learning; *STUDENTS

• Source: Leonardo. Jun2020, Vol. 53 Issue 3, p332-336. 5p.

• Abstract: Broad Vision was a program for art/science collaboration that adopted a model of interdisciplinary learning, teaching and research. It brought ... Copyright of Leonardo is the property of MIT Press and its content may not be copied or emailed to multiple ...

Record details

Vocal Control of Sound Synthesis Personalized by Unsupervised Machine Listening and Learning.

• Authors : Fasciani, Stefano¹ ; Wyse, Lonce²

Subjects: *SYNTHESIZER music; *MACHINE learning; *SYNTHESIZER (Musical instrument)

• Source: Computer Music Journal. Spring2018, Vol. 42 Issue 1, p37-69. 23p.

• Abstract: In this article we describe a user-driven adaptive method to control the sonic response of digital musical instruments using information extracted ... Copyright of Computer Music Journal is the property of MIT Press and its content may not be copied or emailed ...

Record details

A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals.

• Authors : Karklin, Yan^1,2 ; Lewicki, Michael S.^1,2

Subjects: *DIGITAL signal processing; *BAYESIAN analysis; *MACHINE learning

• Source: Neural Computation. Feb2005, Vol. 17 Issue 2, p397-423. 27p.

• Abstract: Capturing statistical regularities in complex, high-dimensional data is an important problem in machine learning and signal processing. Models such as principal ... Copyright of Neural Computation is the property of MIT Press and its content may not be copied or emailed to ...

Record details

Rapid Composition for Networked Devices: HappyBrackets.

• Authors : Fraietta, Angelo¹ ; Bown, Oliver² ; Ferguson, Sam³

Subjects: *COMPILERS (Computer programs); *DIGITAL signal processing

• Source: Computer Music Journal. Summer/Fall2019, Vol. 43 Issue 2/3, p89-108. 20p.

• Abstract: This article introduces an open-source Java-based programming environment for creative coding of agglomerative systems using Internet-of-Things (IoT) technologies. Our software originally focused on Copyright of Computer Music Journal is the property of MIT Press and its content may not be copied or emailed ...

Record details

Neural Signatures of Learning Novel Object–Scene Associations.

• Authors : Smith, Cybelle M.¹ (AUTHOR); Federmeier, Kara D.¹ (AUTHOR)

Subjects: *LEARNING; *STATISTICAL association; *OBJECT recognition (Computer vision)

• Source: Journal of Cognitive Neuroscience. May2020, Vol. 32 Issue 5, p783-803. 21p. 4 Color Photographs, 2 Illustrations, 1 Chart, 6 Graphs.

• Abstract: Objects are perceived within rich visual contexts, and statistical associations may be exploited to facilitate their rapid recognition. Recent work using natural scene–object associations ... Copyright of Journal of Cognitive Neuroscience is the property of MIT Press and its content may not be copied or ...

Record details