6 research outputs found
Application of a Natural Language Interface to the Teleoperation of a Mobile Robot
IFAC Intelligent Components for Vehicles, Seville, Spain, 1998This paper describes the application of a natural language interface to the teleoperation of a mobile robot. Natural language communication with robots is a major goal, since it allows for non expert people to communicate with robots in his or her own language. This communication has to be flexible enough to allow the user to control the robot with a minimum knowledge about its details. In order to do this, the user must be able to perform simple operations as well as high level tasks which involve multiple elements of the system. For this ones, an adequate representation of the knowledge about the robot and its environment will allow the creation of a plan of simple actions whose execution will result in the accomplishment of the requested tas
Towards the Noosphere of Intangible (Esotericism from Materialistic Viewpoint)
Exploration of intangible world is under the serious influence of esotericism. Mystics, religions,
unrestrained use of metaphors, fairy tales, gossips, unverified and uncertified “facts” – all this needs accurate
well-disposed, but sound scientific consideration. Our society really needs new ideas, new approaches and new
paradigms. Technological civilization becomes more and more complicated, risky and ecologically critical. The
current level of AI research cannot guarantee successful solution of societal control and management. Besides,
the human being itself practically did not change its mental and psychological abilities for many thousands years.
We can lose control over our society and its technology, if we do not change cardinally ourselves. In this text, I
tried to approach this problem – the problem of our noosphere from materialistic viewpoint
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Building a Natural Language Interface to Expert Systems
The primary goal of this research is to build a general semantics that will allow the mapping of user statements and questions into facts and goals of the underlying expert system. The semantic interpreter we propose to build will impose a structure on the underlying expert system, while being linguistically based and to some extent transportable. This last criterion requires that it separate domain dependent and independent information. Some of the main features of our semantic approach include linguistically based, hierarchically structured verb categories, a parsing algorithm that is encoded directly into the hierarchies and a mechanism to deal with semantically incomplete input. All of these features are discussed in detail later in the paper. A secondary contribution of this work is to build an inference engine, Director, for expert systems that meets the requirements imposed by a natural language interface. Figure 1-1 shows an overview of the total system as we envision it
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A Survey of Interfaces to Data Base and Expert Systems.
The problem of natural language recognition has been studied by many researchers since the early 1960‘s. In particular, researchers are concerned with building interfaces to existing systems, such as data base and expert systems. Such interfaces focus on easing communications between the underlying systems and the user. In this paper we survey various interfaces to both expert and data base systems. Natural language interfaces to data base systems have been quite successful. In contrast, natural language interfaces for expert systems are still in the initial stages of design. One mode of communication between an expert system and a user is via a menu interface. Such an interface presents many limitations [Datskovsky 84] [Datskovsky 85]. A natural language interface to expert systems that would not only alleviate such limitations, but also be domain independent and easily transportable from one system to another is desirable. By studying natural language interfaces to data base systems as well as existing interfaces to expert systems, we hope to gain insights on requirements for expert system interfaces and existing natural language technology that may help us in building natural language interfaces to ex pen systems