Information om | Engelska ordet CONNECTIONIST

Exempel på hur man kan använda CONNECTIONIST i en mening

• Connectionism is the name of an approach to the study of human mental processes and cognition that utilizes mathematical models known as connectionist networks or artificial neural networks.
• The connectionist network is made up of different nodes, and it works by a "priming effect," and this happens when a "prime node activates a connected node".
• These attempts in neurocognition to merge connectionist cognitive neuroarchitectures with DST come from not only neuroinformatics and connectionism, but also recently from developmental psychology (“Dynamic Field Theory (DFT)”) and from “evolutionary robotics” and “developmental robotics” in connection with the mathematical method of “evolutionary computation (EC)”.
• It has been popularly contextualized within the so-called "Past-Tense Debate," which was sparked by Rumelhart and McClelland's 1986 connectionist model of the production of regular and irregular verbs.
• Representing fuzzification, fuzzy inference and defuzzification through multi-layers feed-forward connectionist networks.
• Positives of connectionist networks is, first, that the resulted behaviour is more smooth than behaviour produced by crisp if-then rules and FSMs, second, the networks are often adaptive, and third, mechanism of inhibition can be used and hence, behaviour can be also described proscriptively (by means of rules one can describe behaviour only prescriptively).
• Quantitative analysis of behavior addresses the following topics among others: behavioral economics, behavioral momentum, connectionist systems or neural networks, integration, hyperbolic discounting including the delay reduction hypothesis, foraging, hunting, errorless learning, creativity, learning, and the Rescorla-Wagner model, matching law, melioration, scalar expectancy, signal detection, neural hysteresis, and reinforcement control.
• Rethinking Innateness: A connectionist perspective on development is a book regarding gene/environment interaction by Jeffrey Elman, Annette Karmiloff-Smith, Elizabeth Bates, Mark Johnson, Domenico Parisi, and Kim Plunkett published in 1996.
• Relational Network Theory (RNT), also known as Neurocognitive Linguistics (NCL) and formerly as Stratificational Linguistics or Cognitive-Stratificational Linguistics, is a connectionist theoretical framework in linguistics primarily developed by Sydney Lamb which aims to integrate theoretical linguistics with neuroanatomy.
• Given the traces of abstraction that remain in the inputs and outputs through which connectionist neural networks carry its computations, connectionism is said to be not so far from computationalism and unable to cope with both the challenge of dealing with the details involved during perceiving and acting and explaining higher level cognition.

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