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A Knowledge-based Multi-entity and Cooperative System Architecture

机译:基于知识的多实体协作系统架构

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Future intelligent systems will become more complex and they will be composed of potentially very different artificial agents like mobile robots, smart home infrastructure, and smartphones that collect data and that have capabilities to perform certain tasks. The challenges will be that the elements such a system is composed of will not be known in advance and might change dynamically. Further, the tasks that need to be fulfilled will be unknown beforehand and might require cooperation with humans to make use of their abilities. In this paper we provide a description of a system with which we try to tackle these challenges. Our system uses available resources (robots, humans) and the actual state of the environment to provide a plan in order to satisfy a given request. We demonstrate the flexibility of our system through varying the available resources and the state of the environment. To our knowledge there are few approaches only that (i) explicitly model and use humans together with intelligent agents in the same plan in this kind of abstraction level, and (ii) that have a system using heterogeneous agents at the same time.
机译:未来的智能系统将变得更加复杂,它们将由可能非常不同的人工代理组成,例如移动机器人,智能家居基础设施和智能手机,它们可以收集数据并具有执行某些任务的能力。挑战在于,组成此类系统的元素将事先未知,并且可能会动态变化。此外,需要预先完成的任务将是未知的,并且可能需要与人类合作以利用他们的能力。在本文中,我们提供了一个系统来说明如何应对这些挑战的描述。我们的系统使用可用资源(机器人,人)和环境的实际状态来提供计划,以满足给定的要求。通过改变可用资源和环境状态,我们展示了系统的灵活性。就我们所知,只有很少的方法(i)以这种抽象级别在同一计划中显式地对人类和智能代理进行建模和使用,以及(ii)同时使用异类代理的系统。

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