What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Cognitive science
- Linguistics
Artificial intelligence, Artificial neural network, Cognitive science, Machine learning and Robot are his primary areas of study.
Domenico Parisi conducts interdisciplinary study in the fields of Artificial intelligence and Field through his research.
His study in Artificial neural network is interdisciplinary in nature, drawing from both Neuroscience, Sensory system and Inheritance.
His work carried out in the field of Cognitive science brings together such families of science as Cognitive development, Cognitive psychology, Perception, Embodied cognition and Connectionism.
His Connectionism study incorporates themes from Epistemology, Instinct and Developmental neurobiology.
The concepts of his Machine learning study are interwoven with issues in Interpretation, Data mining, Identification and Phenotypic plasticity.
His most cited work include:
- Defining and identifying communities in networks. (1808 citations)
- Rethinking Innateness: A Connectionist Perspective on Development (1765 citations)
- Simulating the evolution of language (383 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial intelligence, Artificial neural network, Cognitive science, Robot and Human–computer interaction.
His research in Artificial intelligence intersects with topics in Natural language processing, Machine learning and Action.
As a member of one scientific family, he mostly works in the field of Artificial neural network, focusing on Artificial life and, on occasion, Evolutionary biology.
His Cognitive science research is multidisciplinary, incorporating elements of Cognitive development, Cognition, Connectionism, Perception and Communication.
His Robot study combines topics in areas such as Collective behavior, Construct and Simulation.
His research integrates issues of Humanoid robot, Robot control and Obstacle avoidance in his study of Human–computer interaction.
He most often published in these fields:
- Artificial intelligence (37.66%)
- Artificial neural network (38.96%)
- Cognitive science (23.38%)
What were the highlights of his more recent work (between 2010-2019)?
- Robot (21.43%)
- Human–computer interaction (14.29%)
- Cognitive science (23.38%)
In recent papers he was focusing on the following fields of study:
Domenico Parisi focuses on Robot, Human–computer interaction, Cognitive science, Artificial intelligence and Robot control.
He interconnects Epistemology, Mental life, Multimedia and Applied psychology in the investigation of issues within Robot.
His Human–computer interaction research focuses on Humanoid robot and how it relates to Construct.
Domenico Parisi works mostly in the field of Cognitive science, limiting it down to topics relating to Embodied cognition and, in certain cases, Artificial life, Motor system, Cognitive reframing and Cognitive model.
His Artificial neural network and Robotics study in the realm of Artificial intelligence connects with subjects such as Specialization and Simple.
Artificial neural network is a subfield of Machine learning that Domenico Parisi tackles.
Between 2010 and 2019, his most popular works were:
- Towards a Vygotskyan cognitive robotics: The role of language as a cognitive tool (62 citations)
- Integrating reinforcement learning, equilibrium points, and minimum variance to understand the development of reaching: a computational model. (45 citations)
- Neminem laedere. An evolutionary agent-based model of the interplay between punishment and damaging behaviours (18 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognitive science
- Cognition
His scientific interests lie mostly in Artificial intelligence, Robot, Embodied cognition, Cognitive science and Artificial neural network.
His Artificial intelligence research integrates issues from Relation and Human–computer interaction.
His research links Machine learning with Robot.
His Cognitive science research includes elements of Humanoid robot, Construct and Face.
He is interested in Connectionism, which is a branch of Artificial neural network.
His work in Connectionism covers topics such as Affordance which are related to areas like Action selection.
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