Computational Intelligence - February 2017 - 15
the duration of each move search while
it is already running. Furthermore, we
analyze the effects of time management
strategies on the distribution of time
over the moves of an average game,
allowing us to partly explain their performance. In the experiments, the
domain-independent strategy STOP
provides a significant improvement over
the state of the art in Go, and is the
most effective time management strategy tested in all five domains."
IEEE Transactions on Cognitive
and Developmental Systems
Emergence of Altruistic Behavior Through
the Minimization of Prediction Error, by
J. Baraglia, Y. Nagai, and M. Asada,
IEEE Transactions on Cognitive and
Developmental Systems, Vol. 8, No. 3,
September 2016, pp. 141-151.
Digital Object Identifier: 10.1109/
TCDS.2016.2562121
"The emergence of altruistic behavior
in infants fosters their social development
and supports their involvement in the
society. Altruistic tendencies, intended to
benefit others with no apparent rewards,
are also very useful for social robots that
are designed to be used in our households.
Yet, to make robots capable of learning
how to help others as infants do, it is
important to understand the mechanisms
and motives responsible for the development of altruistic behavior. Further, understanding the mechanisms behind the early
development of pro-social behavior
would be a great contribution to the field
of developmental psychology. To these
ends, the authors hypothesize that infants
from 14 months of age help others to
minimize the differences between predicted actions and observations, that is, to
minimize prediction errors. To evaluate
their hypothesis, the authors created a
computational model based on psychological studies and implemented it in real
and simulated robots. Their system first
acquires its own sensory-motor representation by interacting with its environment. Then, using its experience, the
system recognizes and predicts others'
actions and uses this prediction to estimate a prediction error. The experiments
demonstrated that their robots could
spontaneously generate helping behaviors
by being motivated by the minimization
of prediction errors."
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Table of Contents for the Digital Edition of Computational Intelligence - February 2017
Computational Intelligence - February 2017 - Cover1
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Computational Intelligence - February 2017 - 1
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