Robot Self-Awareness: Exploration of Internal States
Robot Self-Awareness: Exploration of Internal States
复制标题
机器人自我意识：内部状态探索
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
A. Sheka
中科院分区：
文献类型：
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作者：
A. Gorbenko;V. Popov;A. Sheka
有自我意识的系统比没有自我意识的系统更有可能有效地处理新的情况。一个selfaware系统可以关注它自己的内部状态，从而提供了一种生成内省和自我修改能力的方法。一个机器人需要一种关注其内部状态的能力，以便真正具有自我意识。内部状态可以由情感、信念、欲望、意图和期望组成，也可以是感觉、知觉、概念、模拟、行动、计划和思想等过程。在识别过程中，意识到自己的情感、感知、信念和意图至关重要。目前，机器人自我意识领域的发展主要基于对人类内部状态的模仿。系统开发人员很难为所有可能的条件和情况指定特定的内部状态。很明显，这种系统的机会非常有限
A self-aware system has the possibility of dealing with novel situations more effectively than a system without self-awareness. A selfaware system can attend to its own internal states, thus providing a means of generating introspection and self-modification capabilities. A robot needs a capability to attend to its internal states in order to be genuine self-aware. Internal states can be made up of emotion, belief, desire, intention and expectation or it can be processes such as sensation, perception, conception, simulation, action, planning and thought. It is crucially important to be aware of its own emotions, perceptions, beliefs and intentions during the recognition process. Currently, developments in the field of self-awareness of robots are mainly based on a mimicry of human internal states. It is difficult for systems developers to specify specific internal states for all possible conditions and situations. It is obvious that such systems have very limited opportunities