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| title | chunk | source | category | tags | date_saved | instance |
|---|---|---|---|---|---|---|
| Outline of artificial intelligence | 3/6 | https://en.wikipedia.org/wiki/Outline_of_artificial_intelligence | reference | science, encyclopedia | 2026-05-05T08:01:55.031543+00:00 | kb-cron |
=== Artificial neural networks === Artificial neural networks Network topology – Arrangement of a communication network feedforward neural networks Perceptrons Multi-layer perceptrons Radial basis networks Convolutional neural network – Type of feedforward neural network Recurrent neural networks Long short-term memory Hopfield networks Attractor networks Deep learning – Branch of machine learning Hybrid neural network Learning algorithms for neural networks Hebbian learning Backpropagation GMDH – Mathematical modelling alogorithmPages displaying short descriptions of redirect targets Competitive learning Supervised backpropagation Neuroevolution Restricted Boltzmann machine
=== Biologically based or embodied === Behavior based AI – Branch of roboticsPages displaying short descriptions of redirect targets Subsumption architecture – 1980s and 1990s reactive robotic architecture Nouvelle AI – Approach to artificial intelligence Developmental robotics Situated AI Bio-inspired computing – Solving problems using biological models Artificial immune systems Embodied cognitive science – Interdisciplinary field of research Embodied cognition – Interdisciplinary theory Free energy principle – Hypothesis in neuroscience
=== Cognitive architecture and multi-agent systems === Artificial intelligence systems integration – Aspect of system integration regarding artificial intelligence Cognitive architecture – Blueprint for intelligent agents LIDA (cognitive architecture) – Artificial model of cognition AERA (AI architecture) Agent architecture Control system – System that manages the behavior of other systems Hierarchical control system – Layered model for component organization in software and robotics Networked control system Distributed artificial intelligence – Multi-agent system – Hybrid intelligent system – Software system combining multiple techniques Monitoring and Surveillance Agents Blackboard system – Type of artificial intelligence approach
== Philosophy ==
=== Definition of AI === Pei Wang's definition of artificial intelligence Dartmouth proposal ("Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it") Turing test Computing Machinery and Intelligence Intelligent agent and rational agent Action selection AI effect Synthetic intelligence
=== Classifying AI === Symbolic vs sub-symbolic AI Symbolic AI Physical symbol system Dreyfus' critique of AI Moravec's paradox Elegant and simple vs. ad-hoc and complex Neat vs. Scruffy Society of Mind (scruffy approach) The Master Algorithm (neat approach) Level of generality and flexibility Artificial general intelligence Narrow AI Level of precision and correctness Soft computing "Hard" computing Level of intelligence Progress in artificial intelligence Superintelligence Level of consciousness, mind and understanding Chinese room Hard problem of consciousness Computationalism Functionalism (philosophy of mind) Robot rights User illusion Artificial consciousness
== Future == Artificial general intelligence. An intelligent machine with the versatility to perform any intellectual task. Superintelligence. A machine with a level of intelligence far beyond human intelligence. Chinese room § Strong AI. A machine that has mind, consciousness and understanding. (Also, the philosophical position that any digital computer can have a mind by running the right program.) Technological singularity. The short period of time when an exponentially self-improving computer is able to increase its capabilities to a superintelligent level. Recursive self improvement (aka seed AI) – speculative ability of strong artificial intelligence to reprogram itself to make itself even more intelligent. The more intelligent it got, the more capable it would be of further improving itself, in successively more rapid iterations, potentially resulting in an intelligence explosion leading to the emergence of a superintelligence. Intelligence explosion – through recursive self-improvement and self-replication, the magnitude of intelligent machinery could achieve superintelligence, surpassing human ability to resist it. Singularitarianism Human enhancement – humans may be enhanced, either by the efforts of AI or by merging with it. Transhumanism – philosophy of human transformation Posthumanism – people may survive, but not be recognizable in comparison to present modern-day humans. Cyborgs – Mind uploading – Existential risk from artificial general intelligence Global catastrophic risk § Artificial intelligence AI takeover – point at which humans are no longer the dominant form of intelligence on Earth and machine intelligence is Ethics of AI § Weaponization Artificial intelligence arms race – competition between two or more states to have its military forces equipped with the best "artificial intelligence" (AI). Lethal autonomous weapon Military robot Unmanned combat aerial vehicle Mitigating risks: AI safety AI control problem Friendly AI – hypothetical AI that is designed not to harm humans and to prevent unfriendly AI from being developed Machine ethics Regulation of AI AI box Self-replicating machines – smart computers and robots would be able to make more of themselves, in a geometric progression or via mass production. Or smart programs may be uploaded into hardware existing at the time (because linear architecture of sufficient speeds could be used to emulate massively parallel analog systems such as human brains). Hive mind – Robot swarm –
== Fiction == Artificial intelligence in fiction – Some examples of artificially intelligent entities depicted in science fiction include: