The main challenge addressed by this research is the knowledge acquisition bottleneck defined as the difficulty of creating and maintaining a knowledge base that represents a model of the exp ertise domain that exists in the mind of a domain expert. The mixed-initiative approach we are investigating, called Disciple (Tecuci et al. 1999; Boicu et al., 2000), relies on developing a very capable agent that can collaborate with the domain expert to develop its knowledge base. In this approach both the agent and the expert are accorded responsibility for those elements of knowledge engineering for which they have the most aptitude, and together they form a complete team for knowledge base development. The domain modeling and problem solving appr...
International audienceThis paper focuses on the implementation of domain models for problem solving....
Abstract. Companion systems aim to extend the abilities of ordinary technical systems, for instance ...
This paper presents Disciple-COA, the most recent learning agent shell developed in the Disciple fra...
The research problem addressed in this paper is the development of knowledge bases and knowledge bas...
The long term research goal of our research group is to change the way a knowledge-based agent is bu...
Mixed-initiative learning integrates complementary human and automated reasoning, taking advantage o...
Abstract. This paper presents a mixed-initiative assistant that supports a subject matter expert to ...
We research how subject matter experts can develop knowledge-based systems that incorporate their ex...
This paper proposes, characterizes and outlines the benefits of a new computer level specifically fo...
Developing tools that allow non-programmers to enter knowledge has been an ongoing challenge for AI....
Many tools and techniques have been developed for the systematic acquisition of domain knowledge, i...
Abstract: For intelligent agents to become truly useful in real-world applications it is necessary t...
ized by the tasks and domains involved. For example, we can talk about a planning ap-plication for a...
Item does not contain fulltextIn this paper, three different roles of a shared task model as an inte...
In this paper, three different roles of a shared task model as an intermediate representation of a t...
International audienceThis paper focuses on the implementation of domain models for problem solving....
Abstract. Companion systems aim to extend the abilities of ordinary technical systems, for instance ...
This paper presents Disciple-COA, the most recent learning agent shell developed in the Disciple fra...
The research problem addressed in this paper is the development of knowledge bases and knowledge bas...
The long term research goal of our research group is to change the way a knowledge-based agent is bu...
Mixed-initiative learning integrates complementary human and automated reasoning, taking advantage o...
Abstract. This paper presents a mixed-initiative assistant that supports a subject matter expert to ...
We research how subject matter experts can develop knowledge-based systems that incorporate their ex...
This paper proposes, characterizes and outlines the benefits of a new computer level specifically fo...
Developing tools that allow non-programmers to enter knowledge has been an ongoing challenge for AI....
Many tools and techniques have been developed for the systematic acquisition of domain knowledge, i...
Abstract: For intelligent agents to become truly useful in real-world applications it is necessary t...
ized by the tasks and domains involved. For example, we can talk about a planning ap-plication for a...
Item does not contain fulltextIn this paper, three different roles of a shared task model as an inte...
In this paper, three different roles of a shared task model as an intermediate representation of a t...
International audienceThis paper focuses on the implementation of domain models for problem solving....
Abstract. Companion systems aim to extend the abilities of ordinary technical systems, for instance ...
This paper presents Disciple-COA, the most recent learning agent shell developed in the Disciple fra...