Flow management systems such as supply chain (SC) systems involve multiple operators
managing elements of automation. The success of such multi-operator multi-automation …

The plasticity in the medial Prefrontal Cortex (mPFC) of rodents or lateral prefrontal cortex in
non human primates (lPFC), plays a key role neural circuits involved in learning and …

The prisoner's dilemma (PD) is the leading metaphor for the evolution of cooperative
behavior in populations of selfish agents. Although cooperation in the iterated prisoner's …

Artificial intelligence researchers have been attracted by the idea of having robots learn how
to accomplish a task, rather than being told explicitly. Reinforcement learning has been …

Equivalence relations (ERs) are logical entities that emerge concurrently with the
development of language capabilities. In this work we propose a computational model that …

Neurons in the basal ganglia (BG) of monkeys learning a simple visual discrimination (VD)
task show faster changes in activity than those in the prefrontal cortex (PFC). This motivated …

One of the most valuable mechanisms in animal self-adaptation is the ability to switch
between exploration and exploitation strategies. In this work, we present a computational …

In reciprocal altruism, unrelated individuals engage in behaviors that benefit others at some
cost to themselves. While Trivers' theory of reciprocal altruism explains how natural selection …

An animat approach to dynamic team formation in a group of distributed robots is studied.
The goal is that robots learn to align with the others in order to form a row or a column …

We present a stochastic learning model that combines the essential elements of Hebbian
and Rescorla-Wagner theories for operant conditioning. The model was used to predict the …