Behaviora——机器人与智能体外部及内部行为的概念架构
Behaviora - A Conceptual Architecture for External and Internal Behavior of Robots and Agents
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中文总结 AI 辅助
Behaviora提出一种可寻址的行为概念架构，通过行为情节、风格与经验配置及行为编译器统一表示机器人与智能体的外部和内部行为。
中文摘要 AI 辅助
Behaviora是一个初步的概念架构，用于以可寻址的形式表示智能体和机器人的行为，无论是外部行为还是内部行为。一个表现行为的机器人或智能体执行一个由情节组件组成的行为情节，这些组件可以从行为分类法（BTax）中派生，并被赋予持久标识符。我们将这些标识符称为IoB（行为互联网）地址。行为情节指定系统做什么，而风格配置文件（SP）指定这种行为如何表达。风格可以传达行为者的特征以及能力、文化礼仪等品质。经验配置文件（EP）表示行为相关的内部状态，这些状态调节情节的执行。最后，行为编译器将这些行为表示映射到平台特定的动作。我们使用一个原始的触摸手臂模型来展示这些组件及其关系。外部行为是可寻址运动及其风格的结果。内部行为通过相同的情节原则表示，并可以渲染为内心独白。感知、知觉和复杂任务情境尚未包含在当前实现中，尽管为它们预留了概念位置。
英文摘要
Behaviora is a preliminary conceptual architecture for representing agent and robot behavior, external and internal alike, in an addressable form. A behaving robot or agent performs a Behavior Episode composed of episode components, which can be derived from behavior taxonomies (BTax) and assigned persistent identifiers. We denote these identifiers as IoB (Internet of Behaviors) Addresses. A Behavior Episode specifies what the system does, while a Style Profile (SP) specifies how this behavior is expressed. Style can communicate characteristics of the actor and qualities such as competence and cultural manners. An Experience Profile (EP) represents behaviorally relevant internal state that modulates the execution of an Episode. Finally, a Behavior Compiler maps these behavioral representations to platform-specific actions. We use a primitive touching arm model to show these components and their relations. External Behavior is a result of addressable movements and their styles. Internal Behavior is represented through the same episodic principle and can be rendered as inner speech. Sensing, perception and complex task contexts have not been included in the present implementation, although a conceptual place is reserved for them.
