• fundamental
  • Accepting Von Neumann's principle of self-replication and Turing's universal computation as a general principle for generating open-ended complexity that encompasses Natural Selection, Dr. Rocha has developed the work of Howard Pattee, Sydney Brenner, and others who regard computation and information as fundamental to understanding life, cognition and other complex systems (a good overview is Gleick's Book). (wikipedia.org)
  • symbolic
  • On a more conceptual level, it has been generally accepted that looking at cognition with symbolic or dynamic tools is a question of finding a comfortable level of description for the properties we desire to model. (indiana.edu)
  • Over the next decades, the progress made in artificial intelligence started to be focused more on developing logic-based and knowledge-based programs, veering away from the original purpose of symbolic AI. (wikipedia.org)
  • Laboratory
  • For example, with the Electronic Music Foundation (New York), Journal, the Laboratoire de Neurocybernétique Cellulaire (CNRS) (Laboratory of cellular neurocybernétics), the Institut de Neurosciences Cognitives de la Méditerranée (Cognitive neuroscience institute of the Mediterranean), the Laboratoire Cognitions Humaine et ARTificielle (CHART - Univ. (wikipedia.org)
  • semantic
  • We hypothesized that because artificial sentences lack semantic content, semantics could help humans learn the syntax of center-embedded sentences. (ed.gov)
  • linguistic
  • This finding questions the suitability of AGL tasks with artificial vocabularies for studying the learning and processing of linguistic CER. (ed.gov)
  • While the Saussurean semiotic is dyadic (sign/syntax, signal/semantics), the Peircean semiotic is triadic (sign, object, interpretant), being conceived as philosophical logic studied in terms of signs that are not always linguistic or artificial. (wikipedia.org)
  • Learning
  • Discusses the ideas that cognition is embodied in physical activity, that this activity is embedded in a learning environment, and that learning is the result of adaptation of the learner to the environment and the environment to the learner. (ed.gov)
  • The ability to parse CER is usually tested by means of artificial grammar learning (AGL) tasks, during which participants have to infer the rule from a set of artificial sentences. (ed.gov)
  • 2) a cognition loop which uses artificial intelligence techniques inside its states (learning techniques, decision making techniques, etc. (wikipedia.org)
  • life
  • His published works include more than 200 scientific articles and several volumes, primarily in computer vision and graphics, and also in medical imaging, computer-aided design, artificial intelligence, and artificial life. (princeton.edu)
  • engine
  • This loop, the cognition loop, senses the environment, plans actions according to input from sensors and network policies, decides which scenario fits best its end-to-end purpose using a reasoning engine, and finally acts on the chosen scenario as discussed in the previous section. (wikipedia.org)
  • applications
  • Artificial Intelligence (AIJ) also invites papers on applications, which should describe a principled solution, emphasize its novelty, and present an in-depth evaluation of the AI techniques being exploited. (elsevier.com)
  • field
  • An example of Longuet-Higgins's writings, introducing the field of music cognition: Longuet-Higgins et al (1994): - You're browsing, let us imagine, in a music shop, and come across a box of faded pianola rolls. (wikipedia.org)
  • computer
  • Artificial animals are of interest in computer graphics in part because they are self-animating creatures that dramatically advance the state of the art of graphical character animation. (princeton.edu)