A scenario engine selects an appropriate response to a player's input on the basis of identified keywords and relative positions of both player and Virtual Agent on the axes.
The visual system adjusts its processing of current input on the basis of past experience.
The ability to extract relations between adjacent syllables (AB) from auditory input on the basis of the statistical computation of transitional probabilities between the elements A and B may be present from birth [1], and has clearly been evidenced at 7 to 8 months of age [2] [6].
We modified the conventional SOM for genome informatics to make the learning process and resulting map independent of the order of data input, on the basis of batch learning SOM (BLSOM) [ 12, 13].
We previously modified the conventional SOM for genome informatics to make the learning process and resulting map independent of the order of data input, on the basis of batch-learning SOM (BLSOM).
Active inference refers to a well grounded neurobiological theory of brain function that the brain actively predicts and seeks to explain sensory input on the basis of past experience: there is an internal model of the world that is used to interact with and explain the world [ 11].
Given the role of prediction error seems to be to signal a discrepancy between actual sensory input and sensory input expected on the basis of the model of the world currently held to have the highest likelihood, we can expect that the role of the error signal will be to cause model update.
A match between the sensory input predicted on the basis of this efference copy and actual sensory input leads to the attenuation of self-generated input and to a sense of agency.
Clustering is an unsupervised process of dividing or grouping set of input data on the basis of some common attributes into clusters.
Therefore, to describe the non-Newtonian flow of oil and the characteristic effects, one can use a single analytical model with the possibility of filling the block of input data on the basis of analogy, which greatly simplifies the modelling.
In another approach, social relation extraction system using dependency-kernel-based support vector machine was proposed [47], and classified input sentences on the basis of describing social relations between two people.
