Future robots

D Parisi - 2014 - torrossa.com
1. Why learning? 81 2. The neural network of robots that learn 85 3. The genetic
predictability of the environment 89 4. Living in genetically predictable environments 91 5 …

Why not just features? Reconsidering infants' behavior in individuation tasks

F Hildebrandt, J Lonnemann, R Glauer - Frontiers in Psychology, 2020 - frontiersin.org
It counts as empirically proven that infants can individuate objects. Object individuation is
assumed to be fundamental in the development of infants' ontology within the object-first …

Integrating reinforcement learning, equilibrium points, and minimum variance to understand the development of reaching: a computational model.

D Caligiore, D Parisi, G Baldassarre - Psychological review, 2014 - psycnet.apa.org
Despite the huge literature on reaching behavior, a clear idea about the motor control
processes underlying its development in infants is still lacking. This article contributes to …

The past, present, and future of computational models of cognitive development

M Schlesinger, B McMurray - Cognitive Development, 2012 - Elsevier
Does modeling matter? We address this question by providing a broad survey of the
computational models of cognitive development that have been proposed and studied over …

[图书][B] Cognitive science: Integrative synchronization mechanisms in cognitive neuroarchitectures of modern connectionism

H Maurer - 2021 - taylorfrancis.com
The Mind and Brain are usually considered as one and the same nonlinear, complex
dynamical system, in which information processing can be described with vector and tensor …

Coming from a world without objects

F Hildebrandt, R Glauer, G Kachel - Mind & Language, 2022 - Wiley Online Library
While research on object individuation assumes that even very young children are able to
perceive objects as particulars, we argue that the results of relevant studies can be …

Epigenetic robotics—modelling cognitive development in robotic systems

L Berthouze, T Ziemke - 2003 - Taylor & Francis
Full article: Epigenetic robotics—modelling cognitive development in robotic systems Skip to
Main Content Taylor and Francis Online homepage Taylor and Francis Online homepage Log …

[PDF][PDF] Evolutionary learning outperforms reinforcement learning on non-Markovian tasks

G de Croon, MF Van Dartel… - Workshop on Memory and …, 2005 - academia.edu
Artificial agents are often trained to perform non-Markovian tasks, ie, tasks in which the
sensory inputs can be ambiguous. Agents typically learn how to perform such tasks using …

[PDF][PDF] Using a robot to reexamine looking time experiments

A Lovett, B Scassellati - … of the Third International Conference on …, 2004 - andrewlovett.net
We present new evidence to support criticisms of infant looking time experiments. One such
experiment, in which Baillargeon concluded from looking times that infants understand …

17 Computational Models in Developmental Psychology

TR Shultz - The Oxford Handbook of Developmental Psychology …, 2013 - books.google.com
Computational modeling implements developmental theory in a precise manner, allowing
generation, explanation, integration, and prediction. Several modeling techniques are …