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One of the best studied forms of synaptic plasticity is Long-Term Potentiation (LTP), an activity-driven long lasting increase in synaptic strength, considered to be one of the molecular bases of learning and memory [ 6, 7].
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Our argument is based on the assumption that knowledge level explanations can be defined in the context of Bayesian theory while the goals of new AI are captured by using a well established robot based model of learning and problem solving, called Distributed Adaptive Control (DAC).
While the sector shows promise for structural change, advances in technological competence of the sector is however being curtailed by a lack of access of the artisans to Science, Technology and Innovation (STI) based modes of learning and innovation and a vibrant iron and steel industry.
Estimation of distribution algorithms: evolutionary computation based on learning and simulation of probabilistic graphical models.
In this paper, a novel fusion approach is proposed, based on learning and fusion of the distributions, rather than fusion of the pixels of the SIs.
The other family of human motion capture algorithms is based on learning and classification instead of tracking.
For a cultural model, which is based on learning and imitation of strategies, it not unreasonable to assume that each phenotype is given by a combination of tag and behavior and that mutations among phenotypes occur at equal rates.
It follows that the aversion towards eyespot-like structures is innate, rather than based on learning and association of eyespots with danger.
AI can help keep students motivated by customizing courses based on speed of learning and relative weaknesses, while AR and VR can make learning more immersive and interactive.
The design of environments for learning is always based on specific interpretations of learning and instruction.
ECSEL, based on emotional foundations of learning and cognition, aims to help young children from birth develop emotional competence on the path toward effective self-regulation.
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