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The second best solution takes the topology as given and re-solves the optimization problem to obtain a new recommended optimal behavior for peer p given the suboptimal behavior of its neighbor(s).
Our results provide behavioral and neuronal validation of an active inference formulation of optimal behavior.
Optimal behavior is to suppress emotion and instead make calculated, rational decisions, like a computer.
With reinforcement learning, an optimal behavior is established — in this case maximizing accuracy as measured by a formalized test.
The optimal behavior is learned using support vector regression (SVR).
The maximum overall utility corresponds to the optimal behavior.
The impact of misdetections on equilibrium and socially optimal behavior can also be observed.
It is argued that optimal behavior is not feasible for real-world applications.
Finally, we compare the equilibrium and optimal behavior regarding these two information levels through numerical examples.
Beyond teamwork and technical skills, significantly increased self-efficacy is an important factor in achieving optimal behavior in emergencies.
Each array in these tables reproduces the optimal behavior for a particular age and unemployment duration (h).
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