From Manifestations to Cognitive Architectures: a Scalable Framework
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866917790337728512 |
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| author | Ibias, Alfredo Ramirez-Miranda, Guillem Guinovart, Enric Alarcon, Eduard |
| author_facet | Ibias, Alfredo Ramirez-Miranda, Guillem Guinovart, Enric Alarcon, Eduard |
| contents | The Artificial Intelligence field is flooded with optimisation methods. In this paper, we change the focus to developing modelling methods with the aim of getting us closer to Artificial General Intelligence. To do so, we propose a novel way to interpret reality as an information source, that is later translated into a computational framework able to capture and represent such information. This framework is able to build elements of classical cognitive architectures, like Long Term Memory and Working Memory, starting from a simple primitive that only processes Spatial Distributed Representations. Moreover, it achieves such level of verticality in a seamless scalable hierarchical way. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_09823 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | From Manifestations to Cognitive Architectures: a Scalable Framework Ibias, Alfredo Ramirez-Miranda, Guillem Guinovart, Enric Alarcon, Eduard Artificial Intelligence The Artificial Intelligence field is flooded with optimisation methods. In this paper, we change the focus to developing modelling methods with the aim of getting us closer to Artificial General Intelligence. To do so, we propose a novel way to interpret reality as an information source, that is later translated into a computational framework able to capture and represent such information. This framework is able to build elements of classical cognitive architectures, like Long Term Memory and Working Memory, starting from a simple primitive that only processes Spatial Distributed Representations. Moreover, it achieves such level of verticality in a seamless scalable hierarchical way. |
| title | From Manifestations to Cognitive Architectures: a Scalable Framework |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2406.09823 |