What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- The Internet
His main research concerns Artificial intelligence, Evolutionary computation, Artificial immune system, Immune system and Intrusion detection system.
Peter J. Bentley has researched Artificial intelligence in several fields, including Genetic algorithm and Machine learning.
His Evolutionary computation study integrates concerns from other disciplines, such as Creativity, Balance, Particle swarm optimization, Multi-swarm optimization and Collision.
His Artificial immune system study combines topics from a wide range of disciplines, such as Network intrusion detection, Anomaly detection, Negative selection and Clonal selection.
His Immune system study combines topics in areas such as Computer security and Computational biology.
His research integrates issues of Complex system, Risk analysis, Sensor array and Key in his study of Intrusion detection system.
His most cited work include:
- Evolutionary Design by Computers (505 citations)
- CREATIVE EVOLUTIONARY SYSTEMS (332 citations)
- Comparative vertebrate endocrinology (317 citations)
What are the main themes of his work throughout his whole career to date?
Peter J. Bentley mainly focuses on Artificial intelligence, Artificial immune system, Genetic algorithm, Theoretical computer science and Evolutionary computation.
His studies deal with areas such as Machine learning and Distributed computing as well as Artificial intelligence.
In his study, Parallel computing is inextricably linked to Computation, which falls within the broad field of Distributed computing.
His Artificial immune system research is multidisciplinary, incorporating elements of Anomaly detection, Intrusion detection system and Innate immune system, Immune system.
His Genetic algorithm study frequently links to other fields, such as Range.
Evolutionary computation is closely attributed to Process in his research.
He most often published in these fields:
- Artificial intelligence (29.15%)
- Artificial immune system (12.92%)
- Genetic algorithm (11.81%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial neural network (7.75%)
- Artificial intelligence (29.15%)
- Task (2.21%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial neural network, Artificial intelligence, Task, Autopilot and Control system.
His Artificial neural network research incorporates themes from Classifier, Statistical classification and Categorical variable.
His biological study spans a wide range of topics, including Theoretical computer science and Process.
His Theoretical computer science research includes themes of Self-organizing map and Pooling.
He interconnects Ensemble learning, Stakeholder, Personality psychology and Process management in the investigation of issues within Task.
The concepts of his Personality study are interwoven with issues in Genetic algorithm and Particle swarm optimization.
Between 2015 and 2021, his most popular works were:
- The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities (69 citations)
- The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities (24 citations)
- An Intelligent Autopilot System that learns piloting skills from human pilots by imitation (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- The Internet
Peter J. Bentley spends much of his time researching Artificial neural network, Control system, Autopilot, Artificial intelligence and Artificial life.
His work deals with themes such as Classifier, Statistical classification and Categorical variable, which intersect with Artificial neural network.
In his works, Peter J. Bentley undertakes multidisciplinary study on Artificial intelligence and Differentiable function.
His Artificial life research includes elements of Context, Cognitive psychology, Creativity, Communication and Evolutionary computation.
His research in Creativity intersects with topics in Cognitive science, Surprise and Experimental evolution.
His Evolutionary computation study incorporates themes from Code, Oral tradition, Epistemology and Narrative.
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