Models of robotic feeding, choice, and the survival mechanism
Christopher A. Tucker

TL;DR
This paper explores diagrammatic models of robotic feeding behaviors, emphasizing how positive and negative feedback influence decision-making, with a focus on survival-dependent behaviors.
Contribution
Introduces a diagrammatic modeling approach to robotic feeding that links behavior choices to survival mechanisms and feedback processes.
Findings
Feeding choices are reinforced by positive feedback.
Unsuccessful feeding choices are suppressed by negative feedback.
Behavioral models highlight survival dependence in robotic decision-making.
Abstract
Diagrammatic models of feeding choices reveal fundamental robotic behaviors. Successful choices are reinforced by positive feedback, while unsuccessful ones by negative feedback. This paper will address robotic feeding by casually relating consequential behavior subtended by a strong dependence upon survival.
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Taxonomy
TopicsReinforcement Learning in Robotics · Modular Robots and Swarm Intelligence · Computability, Logic, AI Algorithms
