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  2. Computational theory of mind - Wikipedia

    en.wikipedia.org/wiki/Computational_theory_of_mind

    David Marr proposed that cognitive processes have three levels of description: the computational level, which describes that computational problem solved by the cognitive process; the algorithmic level, which presents the algorithm used for computing the problem postulated at the computational level; and the implementational level, which ...

  3. Heuristic - Wikipedia

    en.wikipedia.org/wiki/Heuristic

    Gigerenzer & Gaissmaier (2011) state that sub-sets of strategy include heuristics, regression analysis, and Bayesian inference. [14]A heuristic is a strategy that ignores part of the information, with the goal of making decisions more quickly, frugally, and/or accurately than more complex methods (Gigerenzer and Gaissmaier [2011], p. 454; see also Todd et al. [2012], p. 7).

  4. Predictive coding - Wikipedia

    en.wikipedia.org/wiki/Predictive_coding

    This makes predictive coding similar to some other models of hierarchical learning, such as Helmholtz machines and Deep belief networks, which however employ different learning algorithms. Thus, the dual use of prediction errors for both inference and learning is one of the defining features of predictive coding.

  5. Heuristic (psychology) - Wikipedia

    en.wikipedia.org/wiki/Heuristic_(psychology)

    In psychology, availability is the ease with which a particular idea can be brought to mind. When people estimate how likely or how frequent an event is on the basis of its availability, they are using the availability heuristic. [58]

  6. CLARION (cognitive architecture) - Wikipedia

    en.wikipedia.org/wiki/CLARION_(cognitive...

    Connectionist Learning with Adaptive Rule Induction On-line (CLARION) is a computational cognitive architecture that has been used to simulate many domains and tasks in cognitive psychology and social psychology, as well as implementing intelligent systems in artificial intelligence applications.

  7. Algorithm - Wikipedia

    en.wikipedia.org/wiki/Algorithm

    Flowchart of using successive subtractions to find the greatest common divisor of number r and s. In mathematics and computer science, an algorithm (/ ˈ æ l ɡ ə r ɪ ð əm / ⓘ) is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation. [1]

  8. Affective computing - Wikipedia

    en.wikipedia.org/wiki/Affective_computing

    It is an interdisciplinary field spanning computer science, psychology, and cognitive science. [1] While some core ideas in the field may be traced as far back as to early philosophical inquiries into emotion , [ 2 ] the more modern branch of computer science originated with Rosalind Picard 's 1995 paper entitled "Affective Computing" [ 3 ] and ...

  9. Heuristic (computer science) - Wikipedia

    en.wikipedia.org/wiki/Heuristic_(computer_science)

    The greedy algorithm heuristic says to pick whatever is currently the best next step regardless of whether that prevents (or even makes impossible) good steps later. It is a heuristic in the sense that practice indicates it is a good enough solution, while theory indicates that there are better solutions (and even indicates how much better, in ...