Problem
Research questions and friction points this paper is trying to address.
Behavioral Representation
Robot Behavior
Agent Behavior
Internet of Behaviors
Behaviora - A Conceptual Architecture for External and Internal Behavior of Robots and Agents
🤖 AI Summary
本文提出了一种名为Behaviora的概念架构，通过行为片段、风格配置和体验配置来表示机器人与代理的内外部行为，并使用行为编译器将这些表示映射到具体平台动作。
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Behavior Episode
Style Profile
Experience Profile
IoB Addresses
Behavior Compiler
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