Titlebook: Reverse Engineering the Mind; Consciously Acting M Florian Neukart Book 2017 The Editor(s) (if applicable) and The Author(s), under exclusi

wall-stress

An outline of artificial neural networks,ther with Markov models, as one of the most valuable means for developing learning software. Artificial neural networks are not only applicable within the field of data mining (see 6.1 Analysis), but can make a software system capable of understanding and solving a presented problem statement through learning.

SMART

Advanced artificial perception and pattern recognition,orld data and which different types of cells are used and why. In the later chapters data representation will be discussed in some more detail, and we will see that how data is presented to a machine learning algorithm is at least as important as the algorithm itself.

自然环境

An outline of quantum mechanics,ies for ANN learning. In the last years the interest in theoretical aspects of quantum physics has grown intensely and thus, also research in computational neuroscience discovered it and is now trying to make use of its possibilities.

beta-carotene

寒冷

与野兽博斗者

,Evolution’s most extraordinary achievement,ature has equipped us with – the human brain. This extraordinary organ does not only allow us to understand the universe, but additionally provides us with feelings, conscious perception or the ability to control our bodies in highest precision. I have always tried not to shelve myself into a specif

唠叨

Pillars of artificial intelligence,ction, and to figure out which hardware is required to process an artificial mind with the same, similar or superior capabilities. For this, I will focus on any approach that allows us to reproduce cognitive capabilities, but not necessarily achieve this target by the same means as evolution did. It

characteristic

intangibility

Expertise

Advanced nature-inspired evolution and learning strategies,wombs, but not well configured to work in the outside world right after we are born. Learning in the human brain, which refers to building up neural networks over the neocortical hierarchies, involves a lot more than initializing connections and increasing the connection strength between neurons. De