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Toward Spinozist Robotics: Exploring the Minimal Dynamics of Behavioral Preference

机译：面向Spinozist机器人技术：探索行为偏好的最小动态

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A preference is not located anywhere in the agent's cognitive architecture, but it is rather a constraining of behavior which is in turn shaped by behavior. Based on this idea, a minimal model of behavioral preference is proposed. A simulated mobile agent is modeled with a plastic neurocontroller, which holds two separate high dimensional homeostatic boxes in the space of neural dynamics. An evolutionary algorithm is used for creating a link between the boxes and the performance of two different phototactic behaviors. After evolution, the agent's performance exhibits some important aspects of behavioral preferences such as durability and transitions. This article demonstrates (1) the logical consistency of the multi-causal view by producing a case study of its viability and providing insights into its dynamical basis and (2) how durability and transitions arise through the mutual constraining of internal and external dynamics in the flow of alternating high and low susceptibility to environmental variations. Implications for modeling autonomy are discussed.
机译：偏好不在主体的认知体系结构中的任何位置，而是行为的约束，而行为的约束又由行为决定。基于此思想，提出了一种行为偏好的最小模型。用塑料神经控制器对模拟的移动代理进行建模，该塑料神经控制器在神经动力学空间中拥有两个单独的高维稳态盒。进化算法用于在盒子与两种不同的光战术行为的性能之间建立联系。进化后，代理的性能表现出行为偏好的一些重要方面，例如耐久性和过渡性。本文通过对案例的可行性进行案例研究并提供其动态基础的见解，论证了（1）多因果视图的逻辑一致性，以及（2）通过内部和外部动力学的相互约束如何产生持久性和转变。高低交替的环境变化易感性流。讨论了对自治建模的含义。

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