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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. 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.

  4. Blended learning - Wikipedia

    en.wikipedia.org/wiki/Blended_learning

    Blended learning or hybrid learning, also known as technology-mediated instruction, web-enhanced instruction, or mixed-mode instruction, is an approach to education that combines online educational materials and opportunities for interaction online with physical place-based classroom methods.

  5. Neuro-symbolic AI - Wikipedia

    en.wikipedia.org/wiki/Neuro-symbolic_AI

    Approaches for integration are diverse. [10] Henry Kautz's taxonomy of neuro-symbolic architectures [11] follows, along with some examples: . Symbolic Neural symbolic is the current approach of many neural models in natural language processing, where words or subword tokens are the ultimate input and output of large language models.

  6. 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).

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  8. 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 ...

  9. Hybrid Securities: Definition and Examples - AOL

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

    Continue reading ->The post Hybrid Securities: Definition and Examples appeared first on SmartAsset Blog. A hybrid security is a single financial product that combines different types of financial ...