Artificial Intelligence
What Do You Know about Mail?Knowledge Representation in the SINIX Consultant
Artificial Intelligence Review - special issue on intelligent help systems for Unix part II: planning and knowledge representation
WordsEye: an automatic text-to-scene conversion system
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Formalizing Commonsense: Papers by John McCarthy
Formalizing Commonsense: Papers by John McCarthy
Darstellung von Aktionen in Vererbungshierarchien
Künstliche Intelligenz, GWAI-88, 12. Jahrestagung
Experiences with a mobile robotic guide for the elderly
Eighteenth national conference on Artificial intelligence
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
A robust system for natural spoken dialogue
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Speech and Language Interfaces for Agent Systems
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
The CommandTalk spoken dialogue system
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
The Description Logic Handbook
The Description Logic Handbook
A temporal description logic for reasoning about actions and plans
Journal of Artificial Intelligence Research
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Controlled natural languages for interface agents
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
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The use of a complex form of language for the purpose of communication with others, to exchange ideas and thoughts, to express statements, wishes, goals, and plans, and to issue questions, commands and instructions, is one of the most important and distinguishing aspects humankind. If artificial agents want to participate in a co-operative way in human-agent interaction, they must be able – to a certain degree – to understand and interpret natural language, and translate commands and questions of a human user and map them onto a suitable set of their own primitive actions. In this paper, we outline a general framework and architecture for the development of natural language interfaces for artificial agents. We focus in this paper on task-related communication, in a scenario where the artificial agent performs actions in a co-operative work setting with human partners, who serve as instructors or supervisors. The main aim of this research is to provide a consistent and coherent formal framework for the representation of actions, which can be used for planning, reasoning, and action execution by the artificial agent, and at the same time can serve as a basis for analyzing and generating verbal expressions, i.e. commands, instructions and queries, issued by the human user. The suggested framework is derived from formal methods in knowledge representation, in particular description logics, and involves semantic and ontological descriptive elements taken from linguistics, computer science, and philosophy. Several prototypical agent systems have been developed based on this framework, including simulated agents like an interior design system and a household robot, and a speech controlled toy car as example of a physical agent.