[图书][B] Sensorimotor life: An enactive proposal
How accurate is the picture of the human mind that has emerged from studies in
neuroscience, psychology, and cognitive science? Anybody with an interest in how minds …
neuroscience, psychology, and cognitive science? Anybody with an interest in how minds …
Enactive artificial intelligence: Investigating the systemic organization of life and mind
The embodied and situated approach to artificial intelligence (AI) has matured and become
a viable alternative to traditional computationalist approaches with respect to the practical …
a viable alternative to traditional computationalist approaches with respect to the practical …
Learning to perceive in the sensorimotor approach: Piaget's theory of equilibration interpreted dynamically
Learning to perceive is faced with a classical paradox: if understanding is required for
perception, how can we learn to perceive something new, something we do not yet …
perception, how can we learn to perceive something new, something we do not yet …
[HTML][HTML] Robotics inspired in the organism
EA Di Paolo - Intellectica, 2010 - persee.fr
The major technical and conceptual advances in cognitive science have always been
connected directly or indirectly to artificial intelligence and, over the last 20 years …
connected directly or indirectly to artificial intelligence and, over the last 20 years …
The long-term efficacy of “social buffering” in artificial social agents: Contextual affective perception matters
I Khan, L Cañamero - Frontiers in Robotics and AI, 2022 - frontiersin.org
In dynamic (social) environments, an affective state of “stress” can be adaptive and promote
agent wellbeing, but maladaptive if not appropriately regulated. The presence of (and …
agent wellbeing, but maladaptive if not appropriately regulated. The presence of (and …
Self-optimization in continuous-time recurrent neural networks
A recent advance in complex adaptive systems has revealed a new unsupervised learning
technique called self-modeling or self-optimization. Basically, a complex network that can …
technique called self-modeling or self-optimization. Basically, a complex network that can …
[图书][B] Unconventional information processing systems, novel hardware: A tour d'horizon
This report provides a wide-angle survey on computational paradigms which have a
possible bearing on the development of unconventional computational substrates and …
possible bearing on the development of unconventional computational substrates and …
Need is all you need: Homeostatic neural networks adapt to concept shift
In living organisms, homeostasis is the natural regulation of internal states aimed at
maintaining conditions compatible with life. Typical artificial systems are not equipped with …
maintaining conditions compatible with life. Typical artificial systems are not equipped with …
Self-organized criticality, plasticity and sensorimotor coupling. Explorations with a neurorobotic model in a behavioural preference task
During the last two decades, analysis of 1/ƒ noise in cognitive science has led to a
considerable progress in the way we understand the organization of our mental life …
considerable progress in the way we understand the organization of our mental life …
Towards modelling social habits: an organismically inspired evolutionary robotics approach
MG Bedia, M Heras-Escribano, D Cajal… - Artificial life …, 2019 - direct.mit.edu
There has been a revival of the notion of habit in the embodied and situated cognitive
sciences. A habit can be understood as 'a self-sustaining pattern of sensorimotor …
sciences. A habit can be understood as 'a self-sustaining pattern of sensorimotor …