Generalized Simultaneous Localization and Mapping (G-SLAM) as unification framework for natural and artificial intelligences: towards reverse engineering the …
Simultaneous localization and mapping (SLAM) represents a fundamental problem for
autonomous embodied systems, for which the hippocampal/entorhinal system (H/ES) has …
autonomous embodied systems, for which the hippocampal/entorhinal system (H/ES) has …
Distributed and democratized learning: Philosophy and research challenges
Due to the availability of huge amounts of data and processing abilities, current artificial
intelligence (AI) systems are effective in solving complex tasks. However, despite the …
intelligence (AI) systems are effective in solving complex tasks. However, despite the …
The growth and form of knowledge networks by kinesthetic curiosity
Throughout life, we might seek a calling, companions, skills, entertainment, truth, self-
knowledge, beauty, and edification. The practice of curiosity can be viewed as an extended …
knowledge, beauty, and edification. The practice of curiosity can be viewed as an extended …
Emergence and reconfiguration of modular structure for artificial neural networks during continual familiarity detection
Advances in artificial intelligence enable neural networks to learn a wide variety of tasks, yet
our understanding of the learning dynamics of these networks remains limited. Here, we …
our understanding of the learning dynamics of these networks remains limited. Here, we …
[图书][B] Emergence in context: A treatise in twenty-first century natural philosophy
RC Bishop, M Silberstein, M Pexton - 2022 - books.google.com
Science, philosophy of science, and metaphysics have long been concerned with the
question of how order, stability, and novelty are possible and how they happen. How can …
question of how order, stability, and novelty are possible and how they happen. How can …
Semantic speech networks linked to formal thought disorder in early psychosis
Abstract Background and Hypothesis Mapping a patient's speech as a network has proved
to be a useful way of understanding formal thought disorder in psychosis. However, to date …
to be a useful way of understanding formal thought disorder in psychosis. However, to date …
Architecture and evolution of semantic networks in mathematics texts
NH Christianson… - Proceedings of the …, 2020 - royalsocietypublishing.org
Knowledge is a network of interconnected concepts. Yet, precisely how the topological
structure of knowledge constrains its acquisition remains unknown, hampering the …
structure of knowledge constrains its acquisition remains unknown, hampering the …
The value of statistical learning to cognitive network science
EA Karuza - Topics in Cognitive Science, 2022 - Wiley Online Library
To study the human mind is to consider the nature of associations—how are they learned,
what are their constituent parts, and how can they be severed or adjusted? The …
what are their constituent parts, and how can they be severed or adjusted? The …
Context is king: contextual emergence in network neuroscience, cognitive science, and psychology
M Silberstein - From Electrons to Elephants and Elections: Exploring …, 2022 - Springer
Context is King: Contextual Emergence in Network Neuroscience, Cognitive Science, and
Psychology | SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find …
Psychology | SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find …
From uncertainty to insight: An autocatalytic framework
We show how uncertainty and insight can be modeled using Reflexively Autocatalytic
Foodset-generated (RAF) networks. RAF networks have been used to model the self …
Foodset-generated (RAF) networks. RAF networks have been used to model the self …