Artificial intelligence Portal

Computational intelligence (CI) is a branch of artificial intelligence. As an alternative to GOFAI it rather relies on heuristic algorithms such as in Fuzzy systems, Neural networks and Evolutionary computation. In addition, computational intelligence also embraces techniques that use Swarm intelligence, Fractals and Chaos Theory, Artificial immune systems, Wavelets, etc. Image File history File links Portal. ... Hondas humanoid robot AI redirects here. ... GOFAI stands for Good Old Fashioned Artificial Intelligence. ... ... Simplified view of an artificial neural network A neural network is a system of interconnecting neurons in a network working together to produce an output function. ... In computer science evolutionary computation is a subfield of artificial intelligence (more particularly computational intelligence) involving combinatorial optimization problems. ... Swarm intelligence (SI) is an artificial intelligence technique based around the study of collective behavior in decentralized, self-organized systems. ... The boundary of the Mandelbrot set is a famous example of a fractal. ... A plot of the trajectory Lorenz system for values r = 28, σ = 10, b = 8/3 In mathematics and physics, chaos theory describes the behavior of certain nonlinear dynamical systems that under certain conditions exhibit a phenomenon known as chaos. ... Artificial Immune Systems (AIS) are computer algorithms inspired by the principles and processes of the vertebrates immune system. ... In mathematics, wavelets, wavelet analysis, and the wavelet transform refers to the representation of a signal in terms of a finite length or fast decaying oscillating waveform (known as the mother wavelet). ...

Computational intelligence combines elements of learning, adaptation, evolution and Fuzzy logic (rough sets) to create programs that are, in some sense, intelligent. Computational intelligence research does not reject statistical methods, but often gives a complementary view (as is the case with fuzzy systems). Artificial neural networks is a branch of computational intelligence that is closely related to machine learning. Fuzzy logic is derived from fuzzy set theory dealing with reasoning that is approximate rather than precisely deduced from classical predicate logic. ... Intelligence is the mental capacity to reason, plan, solve problems, think abstractly, comprehend ideas and language, and learn. ... ...

Computational intelligence is further closely associated with soft computing, scruffy AI, connectionist systems and cybernetics. This article or section is in need of attention from an expert on the subject. ... In artificial intelligence, the labels neats and scruffies are used to refer to one of the continuing holy wars in artificial intelligence research. ... Connectionism today generally refers to an approach in the fields of cognitive psychology, cognitive science and philosophy of mind which models mental or behavioral phenomena with neural networks, and is associated with a certain set of arguments for why this is a good idea. ... Cybernetics is the study of communication and control, typically involving regulatory feedback in living organisms, machines and organisations, as well as their combinations. ...

The Computational Intelligence Society

CIS was established in 2004 (as a name change to the Neural Network society) and is one of the fastest growing societies within the IEEE (Institute of Electrical and Electronics Engineers). Subjects in computational intelligence as defined by IEEE Computational Intelligence Society are:

• Neural networks
• Fuzzy systems
• Evolutionary computation, including: genetic algorithms and genetic programming

Simplified view of an artificial neural network A neural network is a system of interconnecting neurons in a network working together to produce an output function. ... ... In computer science evolutionary computation is a subfield of artificial intelligence (more particularly computational intelligence) involving combinatorial optimization problems. ... A genetic algorithm (or short GA) is a search technique used in computing to find true or approximate solutions to optimization and search problems. ... Genetic programming (GP) is a patented[1] automated methodology inspired by biological evolution to find computer programs that best perform a user-defined task. ...

References

• Computational Intelligence: An Introduction by Andries Engelbrecht. Wiley & Sons. ISBN 0-470-84870-7
• Computational Intelligence: A Logical Approach by David Poole, Alan Mackworth, Randy Goebel. Oxford University Press. ISBN 0-19-510270-3

See also

• Simulated annealing
• Machine learning
• Artificial immune systems
• Expert systems
• Hybrid intelligent systems
• Hybrid logic
• Simulated reality
• Soft computing
• Bayesian networks
• Chaos theory
• Ant colony optimization
• Particle swarm optimisation
• Cognitive robotics
• Developmental robotics
• Evolutionary robotics
• Intelligent agents
• Knowledge-Based Engineering

Remotely related topics: Simulated annealing (SA) is a generic probabilistic meta-algorithm for the global optimization problem, namely locating a good approximation to the global optimum of a given function in a large search space. ... As a broad subfield of artificial intelligence, Machine learning is concerned with the development of algorithms and techniques that allow computers to learn. At a general level, there are two types of learning: inductive, and deductive. ... Artificial Immune Systems (AIS) are computer algorithms inspired by the principles and processes of the vertebrates immune system. ... An expert system also known as a knowledge based system, is a computer program that contains some of the subject-specific knowledge of one or more human experts. ... Intelligent systems redirects here. ... Hybrid logic refers to a number of extensions to modal logic with more expressive power, though still less than first-order logic. ... Simulated reality is the idea that reality could be simulated inside a computer to a degree indistinguishable from real reality. ... This article or section is in need of attention from an expert on the subject. ... A Bayesian network is a probabilistic graphical model, also known as a Bayesian belief network or belief network. ... A plot of the trajectory Lorenz system for values r = 28, σ = 10, b = 8/3 In mathematics and physics, chaos theory describes the behavior of certain nonlinear dynamical systems that under certain conditions exhibit a phenomenon known as chaos. ... The ant colony optimization algorithm (ACO), introduced by Moyson and Manderick [MoMa88] and widely developped by Marco Dorigo [CMD91,Dor92,DoSt04], is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs. ... Particle swarm optimization (PSO) is a form of swarm intelligence. ... Cognitive robotics (CR) is concerned with endowing robots (which have to operate in complex, fast-changing environments) with high-level cognitive capabilities, such as anticipation, planning, reasoning about other agents, and reasoning about their own mental states. ... Developmental Robotics (DevRob), sometimes called epigenetic robotics, is a methodology that uses metaphors from developmental psychology to develop controllers for autonomous robots. ... Evolutionary Robotics (ER) is a methodology that uses evolutionary computation to develop controllers for autonomous robots. ... Simple reflex agent Learning agent In computer science, an intelligent agent (IA) is a software agent that exhibits some form of artificial intelligence. ... Knowledge-Based Engineering (KBE) is a discipline with roots in computer-aided design (CAD) and knowledge-based systems but has several definitions and roles depending upon the context. ...

• Bioinformatics and Bioengineering
• Autonomous mental development
• Computational finance and Computational economics
• Intelligent systems
• Emergent technologies
• Data mining
• Concept Mining

Map of the human X chromosome (from the NCBI website). ... Biological engineering (also biosystems engineering and bioengineering) is a broad-based engineering discipline that deals with bio-molecular and molecular processes, product design, sustainability and analysis of biological systems. ... Computational finance (also known as financial engineering) is a cross-disciplinary field which relies on mathematical finance, numerical methods and computer simulations to make trading, hedging and investment decisions, as well as facilitating the risk management of those decisions. ... Computational economics is a form of economics which relies on mathematical methods, including mathematical economics and econometrics. ... To meet Wikipedias quality standards, this article may require cleanup. ... A termite cathedral mound produced by a termite colony: a classic example of emergence in nature. ... Data mining (DM), also called Knowledge-Discovery in Databases (KDD) or Knowledge-Discovery and Data Mining, is the process of automatically searching large volumes of data for patterns using tools such as classification, association rule mining, clustering, etc. ... It has been suggested that Taxonomic classification be merged into this article or section. ...

External links

• IEEE Computational Intelligence Society
• Center for Computational Intelligence, Learning, and Discovery
• Computational Intelligence Group
• Computational Intelligence Journal
• International Journal of Computational Intelligence
• International Journal of Intelligent Technology
• International Journal of Computational Intelligence Research
• Computational Intelligence Research Group at the University of Pretoria

Software

• Computational Intelligence Library (CILib)