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  2. Hybrid choice model - Wikipedia

    en.wikipedia.org/wiki/Hybrid_choice_model

    Hybrid choice models are advanced econometric tools used to capture the decision-making processes of individuals by integrating both observable and unobservable factors. Traditional choice models , such as discrete choice models, rely solely on observable variables and choices made by individuals to infer preferences and predict future behavior.

  3. Soar (cognitive architecture) - Wikipedia

    en.wikipedia.org/wiki/Soar_(cognitive_architecture)

    Soar [1] is a cognitive architecture, [2] originally created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University.. The goal of the Soar project is to develop the fixed computational building blocks necessary for general intelligent agents – agents that can perform a wide range of tasks and encode, use, and learn all types of knowledge to realize the full range of ...

  4. Cognitive model - Wikipedia

    en.wikipedia.org/wiki/Cognitive_model

    A cognitive model is a representation of one or more cognitive processes in humans or other animals for the purposes of comprehension and prediction. There are many types of cognitive models, and they can range from box-and-arrow diagrams to a set of equations to software programs that interact with the same tools that humans use to complete tasks (e.g., computer mouse and keyboard).

  5. 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.

  6. Emotion classification - Wikipedia

    en.wikipedia.org/wiki/Emotion_classification

    Dimensional models of emotion attempt to conceptualize human emotions by defining where they lie in two or three dimensions. Most dimensional models incorporate valence and arousal or intensity dimensions. Dimensional models of emotion suggest that a common and interconnected neurophysiological system is responsible for all affective states. [10]

  7. Human contingency learning - Wikipedia

    en.wikipedia.org/wiki/Human_Contingency_Learning

    Human contingency learning has its roots connected to classical conditioning; also referred to as Pavlovian conditioning after the Russian psychologist, Ivan Pavlov. [5] It is a type of learning through association where two stimuli are linked to create a new response in an animal or person. [3]

  8. Hybrid Securities: Definition and Examples - AOL

    www.aol.com/news/hybrid-securities-definition...

    A hybrid security is a single financial product that combines different types of financial securities, or has features of multiple kinds of securities. Typically, this means that the security has ...

  9. Hybrid neural network - Wikipedia

    en.wikipedia.org/wiki/Hybrid_neural_network

    The term hybrid neural network can have two meanings: Biological neural networks interacting with artificial neuronal models, and; Artificial neural networks with a symbolic part (or, conversely, symbolic computations with a connectionist part). As for the first meaning, the artificial neurons and synapses in hybrid networks can be digital or ...