Periodic Reporting for period 3 - BRISC (Bounded Rationality in Sensorimotor Coordination)
Reporting period: 2019-10-01 to 2021-03-31
(i) Theoretical advances: We have developed a theoretical framework that justifies conceptualizing bounded rational agents by an information-utility trade-off through the more basic concept of elementary computations, simple transformations between probability distributions that reduce uncertainty. Moreover, systems that can be described by an information-utility trade-off are amenable to a statistical description analogous to statistical thermodynamics, where we could show that bounded rational decision-making processes can also be studied with the tools of non-equilibrium physics. Finally, we could show how the information-utility description can be used to study and to optimally design the organization of systems of multiple bounded rational agents with unidirectional information flow.
(ii) Technical applications: We have studied how the principles of bounded rational decision-making can be applied to simple robotic systems, in particular how abstractions can be formed as a consequence of limited information. We have also proposed artificial neural network models that can be used in conjunction with planning modules to implement bounded rational decision-making.
(iii) Biological applications: We have devised simple sensorimotor and stimulus identification tasks with humans and demonstrate how the bounded rationality framework can be used to quantify behavior, in particular whether behavior is close to bounded optimal, and how to use this measure to instigate investigations for sources of inefficiency.