Future shapes present: autonomous goal-directed and sensory-focused mode switching in a Bayesian allostatic network model
Hayato Idei,
Jun Tani,
Tetsuya Ogata
et al.
Abstract:Trade-offs between moving to achieve goals and perceiving the surrounding environment highlight the complexity of continually adapting behaviors. The need to switch between goal-directed and sensory-focused modes, along with the goal emergence phenomenon, challenges conventional optimization frameworks, necessitating heuristic solutions. In this study, we propose a Bayesian recurrent neural network framework for homeostatic behavior adaptation via hierarchical multimodal integration. In it, the meta-goal of “m… Show more
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