What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Music
Geraint A. Wiggins focuses on Artificial intelligence, Cognitive psychology, Creativity, Melody and Computational creativity.
His Artificial intelligence research includes elements of Machine learning, Set and Natural language processing.
His Cognitive psychology research is multidisciplinary, incorporating elements of Music and emotion, Perception, Cognition and Music psychology.
His biological study spans a wide range of topics, including Simple, Cognitive science, Naturalism and Societal context.
Melody is a subfield of Musical that Geraint A. Wiggins studies.
His research in Musical tackles topics such as Polyphony which are related to areas like Structure.
His most cited work include:
- A preliminary framework for description, analysis and comparison of creative systems (212 citations)
- EXPECTATION IN MELODY: THE INFLUENCE OF CONTEXT AND LEARNING (187 citations)
- Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation (167 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Cognitive science, Musical, Natural language processing and Cognitive psychology are his primary areas of study.
His studies deal with areas such as Machine learning, Melody, Speech recognition and Pattern recognition as well as Artificial intelligence.
His Cognitive science research is multidisciplinary, incorporating perspectives in Context, Creativity, Music psychology, Musicology and Cognition.
His Musical study integrates concerns from other disciplines, such as Multimedia, Rhythm and Communication.
The concepts of his Natural language processing study are interwoven with issues in Representation and Structure.
His Cognitive psychology research incorporates elements of Stimulus, Social psychology and Perception.
He most often published in these fields:
- Artificial intelligence (33.77%)
- Cognitive science (22.94%)
- Musical (19.91%)
What were the highlights of his more recent work (between 2014-2021)?
- Artificial intelligence (33.77%)
- Cognitive science (22.94%)
- Computational creativity (12.12%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Artificial intelligence, Cognitive science, Computational creativity, Natural language processing and Creativity.
Particularly relevant to Distributional semantics is his body of work in Artificial intelligence.
The various areas that Geraint A. Wiggins examines in his Cognitive science study include Context, Cognitive architecture, Linear subspace and Representation.
His Computational creativity study combines topics from a wide range of disciplines, such as Sketch, Point and Algorithmic composition.
His work on Automatic summarization as part of his general Natural language processing study is frequently connected to Geometric method, thereby bridging the divide between different branches of science.
He focuses mostly in the field of Creativity, narrowing it down to topics relating to Empirical research and, in certain cases, Information processing, Consciousness, Creativity technique and Set.
Between 2014 and 2021, his most popular works were:
- Principles of structure building in music, language and animal song (33 citations)
- Linking melodic expectation to expressive performance timing and perceived musical tension. (24 citations)
- From Distributional Semantics to Conceptual Spaces: A Novel Computational Method for Concept Creation (22 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Music
His primary areas of investigation include Cognitive science, Artificial intelligence, Computational creativity, Context and Creativity.
He has included themes like Representation, Cognitive architecture and Linear subspace in his Cognitive science study.
His studies in Artificial intelligence integrate themes in fields like Machine learning, Novelty, Perception and Natural language processing.
The Computational creativity study which covers Empirical research that intersects with Information processing and Consciousness.
His research in Context intersects with topics in Semantics, Serendipity and Internet privacy.
Geraint A. Wiggins has researched Creativity in several fields, including Natural, Cognitive psychology, Cognition and Sexual selection.
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