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An emergent algorithm is an algorithm that exhibits emergent behavior. In essence an emergent algorithm implements a set of simple building block behaviors that when combined exhibit more complex behaviors. One example of this is the implementation of fuzzy motion controllers used to adapt robot movement in response to environmental obstacles.
Evolutionary robotics is an embodied approach to Artificial Intelligence (AI) in which robots are automatically designed using Darwinian principles of natural selection. The design of a robot,or a subsystem of a robot such as a neural controller,is optimized against a behavioral goal. Usually,designs are evaluated in simulations as fabricating thousands or millions of designs and testing them in the real world is prohibitively expensive in terms of time,money,and safety.
Developmental robotics (DevRob),sometimes called epigenetic robotics,is a scientific field which aims at studying the developmental mechanisms,architectures and constraints that allow lifelong and open-ended learning of new skills and new knowledge in embodied machines. As in human children,learning is expected to be cumulative and of progressively increasing complexity,and to result from self-exploration of the world in combination with social interaction. The typical methodological approach consists in starting from theories of human and animal development elaborated in fields such as developmental psychology,neuroscience,developmental and evolutionary biology,and linguistics,then to formalize and implement them in robots,sometimes exploring extensions or variants of them. The experimentation of those models in robots allows researchers to confront them with reality,and as a consequence,developmental robotics also provides feedback and novel hypotheses on theories of human and animal development.
Bart Andrew Kosko is a writer and professor of electrical engineering and law at the University of Southern California (USC). He is a researcher and popularizer of fuzzy logic,neural networks,and noise,and the author of several trade books and textbooks on these and related subjects of machine intelligence. He was awarded the 2022 Donald O. Hebb Award for neural learning by the International Neural Network Society.
A learning automaton is one type of machine learning algorithm studied since 1970s. Learning automata select their current action based on past experiences from the environment. It will fall into the range of reinforcement learning if the environment is stochastic and a Markov decision process (MDP) is used.
A memetic algorithm (MA) in computer science and operations research,is an extension of the traditional genetic algorithm (GA) or more general evolutionary algorithm (EA). It may provide a sufficiently good solution to an optimization problem. It uses a suitable heuristic or local search technique to improve the quality of solutions generated by the EA and to reduce the likelihood of premature convergence.
The following outline is provided as an overview of and topical guide to automation:
Neurorobotics is the combined study of neuroscience,robotics,and artificial intelligence. It is the science and technology of embodied autonomous neural systems. Neural systems include brain-inspired algorithms,computational models of biological neural networks and actual biological systems. Such neural systems can be embodied in machines with mechanic or any other forms of physical actuation. This includes robots,prosthetic or wearable systems but also,at smaller scale,micro-machines and,at the larger scales,furniture and infrastructures.
Morphogenetic robotics generally refers to the methodologies that address challenges in robotics inspired by biological morphogenesis.
Evolutionary developmental robotics refers to methodologies that systematically integrate evolutionary robotics,epigenetic robotics and morphogenetic robotics to study the evolution,physical and mental development and learning of natural intelligent systems in robotic systems. The field was formally suggested and fully discussed in a published paper and further discussed in a published dialogue.
In computer science,an evolving intelligent system is a fuzzy logic system which improves the own performance by evolving rules. The technique is known from machine learning,in which external patterns are learned by an algorithm. Fuzzy logic based machine learning works with neuro-fuzzy systems.
An adaptive neuro-fuzzy inference system or adaptive network-based fuzzy inference system (ANFIS) is a kind of artificial neural network that is based on Takagi–Sugeno fuzzy inference system. The technique was developed in the early 1990s. Since it integrates both neural networks and fuzzy logic principles,it has potential to capture the benefits of both in a single framework.
Yoram Koren is an Israeli-American academic. He is the James J. Duderstadt Distinguished University Professor Emeritus of Manufacturing and the Paul G. Goebel Professor Emeritus of Engineering at the University of Michigan,Ann Arbor. Since 2014 he is a distinguished visiting professor at the Technion –Israel Institute of Technology.
Silvia Ferrari is an Italian-American aerospace engineer. She is John Brancaccio Professor at the Sibley School of Mechanical and Aerospace Engineering at Cornell University and also the director of the Laboratory for Intelligent Systems and Control (LISC) at the same university.
Auke Jan Ijspeert is a Swiss-Dutch roboticist and neuroscientist. He is a professor of biorobotics in the Institute of Bioengineering at EPFL,École Polytechnique Fédérale de Lausanne,and the head of the Biorobotics Laboratory at the School of Engineering.
Karen Ann Panetta is an American computer engineer and inventor who is a professor and Dean of Graduate Education at Tufts University. Her research considers machine learning and automated systems. She is a Fellow of the Institute of Electrical and Electronics Engineers,the American Institute of Aeronautics and Astronautics and the National Academy of Inventors. She is a member of the National Academy of Engineering,and Fellow of the European Academy of Sciences and the Arts,and the Asia-Pacific Artificial Intelligence Association. She was the STEM Advisor to President Joyce Banda of Malawi and U.S. Ambassador to Slovenia,Linda Blanchard.
Saverio Mascolo is an Italian information engineer,academic and researcher. He is the former Head of the Department of Electrical Engineering and Information Science and the professor of Automatic Control at Department of Ingegneria Elettrica e dell'Informazione (DEI) at Politecnico di Bari,Italy.
Hatice Gunes is a Turkish computer scientist who is Professor of Affective Intelligence &Robotics at the University of Cambridge. Gunes leads the Affective Intelligence &Robotics Lab. Her research considers human robot interactions and the development of sophisticated technologies with emotional intelligence.
Bing Xue is a New Zealand computer scientist,and is a full professor at Victoria University of Wellington,specialising in machine learning,artificial intelligence and data visualisation.
References
- ↑ "Dr. Myra Wilson". users.aber.ac.uk.
- 1 2 Walker, J.H.; Garrett, S.M.; Wilson, M.S. (2006). "The balance between initial training and lifelong adaptation in evolving robot controllers". IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics. 36 (2): 423–432. doi:10.1109/TSMCB.2005.859082. ISSN 1941-0492. PMID 16602601. S2CID 504937.
- ↑ "RobotWars". users.aber.ac.uk.
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