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  1. May 27, 2023Attention has become a common ingredient in deep learning architectures. It adds a dynamical selection of information on top of the static selection of information supported by weights. In the same way, we can imagine a higher-order informational filter built on top of attention: an Attention Schema (AS), namely, a descriptive and predictive model of attention. In cognitive neuroscience ...
  2. In this regard, attention schema theory (AST) is a neuro-scientific theory that postulates that the human brain, and possibly the brain of other animals, constructs a model of attention: an attention schema (Graziano & Webb,2015b). Such an attention schema is a coherent set of information that represents the basic properties of attention and ...
  3. openreview.net

    Oct 27, 2023Attention has become a common ingredient in deep learning architectures. It adds a dynamical selection of information on top of the static selection of information supported by weights. In the same way, we can imagine a higher-order informational filter built on top of attention: an Attention Schema (AS), namely, a descriptive and predictive model of attention.
  4. Attention Schema in Neural Agents Dianbo Liu · Samuele Bolotta · Mike He Zhu · Zahra Sheikhbahaee · Yoshua Bengio · Guillaume Dumas [ Abstract ... In cognitive neuroscience, Attention Schema Theory (AST) supports this idea of distinguishing attention from AS. A strong prediction of this theory is that an agent can use its own AS to also ...
  5. ncbi.nlm.nih.gov

    National Center for Biotechnology Information

    https://www.ncbi.nlm.nih.gov › pmc › articles › PMC8379943

    Therefore, arguably, the agent's attention schema had two broad components: a simple descriptive component (depicting the current state of attention) that was supplied to it in the form of the attention schema array, and a more complex, subtle, and predictive component that was learned and encoded in an implicit manner in the agent's ...
    Author:Andrew I. Wilterson, Michael S. A. GrazianoPublished:2021
  6. academia.edu

    Attention Schema in Neural Agents Dianbo Liu 1 Samuele Bolotta 1 2 He Zhu 1 3 Yoshua Bengio 1 2 4 Guillaume Dumas 1 2 4 arXiv:2305.17375v3 [cs.AI] 14 Jul 2023 Abstract Attention has become a common ingredient in deep learning architectures. ... We also thank the team of the project Astound (EIC Pathfinder Challenge Awareness Inside - GA Number ...
  7. blogs.upm.es

    ASTOUND A EC funded project aimed at improving social competences of virtual agents through artificial consciousness based on the Attention Schema Theory ... Liu, Dianbo, Samuele Bolotta, He Zhu, Yoshua Bengio, and Guillaume Dumas. "Attention Schema in Neural Agents." arXiv preprint arXiv:2305.17375 (2023). Rodríguez-Cantelar, Mario ...
  8. semanticscholar.org

    May 27, 2023Preliminary results indicate that agents that implement the AS as a recurrent internal control achieve the best performance, and suggest that equipping artificial agents with a model of attention can enhance their social intelligence. Attention has become a common ingredient in deep learning architectures. It adds a dynamical selection of information on top of the static selection of ...
  9. extrospection.eu

    Attention has become a common ingredient in deep learning architectures. It adds a dynamical selection of information on top of the static selection of information supported by weights. In the same way, we can imagine a higher-order informational filter built on top of attention: an Attention Schema (AS), namely, a descriptive and predictive ...

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