The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
The TRAINS project: a case study in building a conversational planning agent
Abstract
The TRAINS project is an effort to build a conversationally proficient planning assistant. A key part of the project is the construction of the TRAINS system, which provides the research platform for a wide range of issues in natural language understanding, mixed-initiative planning systems, and representing and reasoning about time, actions and events. Four years have now passed since the beginning of the project. Each year a demonstration system has been produced that focused on a dialogue that illustrates particular aspects of the research. The commitment to building complete integrated systems is a significant overhead on the research, but it is considered essential to guarantee that the results constitute real progress in the field. This paper describes the goals of the project, and the experience with the effort so far.
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Multiagent systems: algorithmic, game-theoretic, and logical foundations
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Metadata
- Authors
- ALLEN, J. F., SCHUBERT, L. K., FERGUSON, G., HEEMAN, P., HWANG, C. H., KATO, T., LIGHT, M., MARTIN, N., MILLER, B., POESIO, M., & TRAUM, D. R.
- Venue
- Journal of Experimental & Theoretical Artificial Intelligence
- Publisher
- Informa UK Limited
- Published
- 1995-01
- Volume
- 7
- Issue
- 1
- Pages
- 7-48
- ISSN
- 0952-813X (ISSN-L)
- 1362-3079
- OpenAlex
- W2569248448
- Cited by
- 300
- References
- 29
- FWCI
- 23.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- ALLEN, J. F., SCHUBERT, L. K., FERGUSON, G., HEEMAN, P., HWANG, C. H., KATO, T., LIGHT, M., MARTIN, N., MILLER, B., POESIO, M., & TRAUM, D. R. (1995). The TRAINS project: a case study in building a conversational planning agent. Journal of Experimental & Theoretical Artificial Intelligence. https://doi.org/10.1080/09528139508953799
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
