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The Adaptive Systems Research Group in Hertfordshire is a multidisciplinary group of faculty, students and research staff of the University of Hertfordshire who carry out research in the field of Adaptive Systems. The group was founded in 2000 and is co-organized by Prof. Kerstin Dautenhahn and Prof. Chrystopher Nehaniv. Other core faculty members of the group include Dr. Lola Cañamero, Dr. Daniel Polani and Dr. Farshid Amirabdollahian.
Adaptive Systems are systems that adapt via learning, evolution, development or via more subtle kinds of interaction, esp. involving social interaction and/or embodiment. These systems might be evolving populations, developing or interacting individuals (robots, programs), colonies/swarms with divisions of labours, assistive robots, interactive interfaces, or less circumscribed agent-environment systems, living or artificial systems, etc. Many activities under the Adaptive Systems umbrella include various areas of artificial life, social robotics, virtual agents and environments, emotion modeling, ontogenetic agents and robots, narrative intelligence, information as an organizing principle in the perception-action loop, human-robot interaction, assistive technology etc. Please see our list of projects (link) for a detailed description of our research.
About the Group
The group has a strong research profile in the following areas:
- Artificial Life
Constructive Biology; Bioinformatics & Biologically-Inspired Systems; Theoretical Biology; Evolution; Self-Re/production; Evolvability; Self-Maintaining Systems; Symbiosis & Hierarchies; Understanding through Building; Sensor Evolution; Evolution of Communication; Appropriate Mathematics for Evolutionary and Developmental Biology; Evolutionary Computation; Transitions in Biological Complexity.
Socially Intelligent Agents
Human-Robot Interaction; Social Robotics; Human-Computer Interaction; Intelligent Virtual Environments; Social Agents in Rehabilitation and Education; Embodiment; Social Learning and Imitation; Animal Minds; Meaning and Communication; Narrative Intelligence; Cognitive Technology; Intelligent Virtual Environments; Social Agents in Rehabilitation and Education; Historical Grounding in Post-Reactive Agents; Episodic Information, Temporal Scope, and Story-Telling in Biological, Robotic and Software Agents.
Cognitive Science; Mobile and Behaviour-Based Robotics; Intelligent Agents; Biological and Artificial Neural Networks; Growth and Evolution of Artificial Neurons and Neural Networks; Recurrent & Automata Networks; Self-Organization; Algebraic Methods in Artificial Intelligence; Analogies & Metaphor; Information in the Perception-Action Loop; Affective Robotics.
- Rehabilitation, Assistive and Assessment Robotics
Neurorehabilitation robots, motivational therapies, game-based interaction, robot-assisted play, assessment robots, functional assessment, and finally assistive and socially assistive robots.