A Knowledge-based Multi-entity and Cooperative System Architecture

Abstract

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.