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19 results on '"Tu, Phan Huy"'

1. Reasoning and Planning with Sensing Actions, Incomplete Information, and Static Causal Laws using Answer Set Programming

Author

Tu, Phan Huy, Son, Tran Cao, and Baral, Chitta

Subjects
Computer Science - Artificial Intelligence, I.2.3, I.2.4, I.2.8
Abstract

We extend the 0-approximation of sensing actions and incomplete information in [Son and Baral 2000] to action theories with static causal laws and prove its soundness with respect to the possible world semantics. We also show that the conditional planning problem with respect to this approximation is NP-complete. We then present an answer set programming based conditional planner, called ASCP, that is capable of generating both conformant plans and conditional plans in the presence of sensing actions, incomplete information about the initial state, and static causal laws. We prove the correctness of our implementation and argue that our planner is sound and complete with respect to the proposed approximation. Finally, we present experimental results comparing ASCP to other planners., Comment: 72 pages, 3 figures, a preliminary version of this paper appeared in the proceedings of the 7th International Conference on Logic Programming and Non-Monotonic Reasoning, 2004. To appear in Theory and Practice of Logic Programming

Published
2006

3. Construction of an Agent-Based Framework for Evolutionary Biology: A Progress Report

Author

Pan, Yu, Tu, Phan Huy, Pontelli, Enrico, Son, Tran Cao, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Leite, João, editor, Omicini, Andrea, editor, Torroni, Paolo, editor, and Yolum, pInar, editor

Published
2005
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4. An Approximation of Action Theories of and Its Application to Conformant Planning

Author

Son, Tran Cao, Tu, Phan Huy, Gelfond, Michael, Morales, A. Ricardo, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Baral, Chitta, editor, Greco, Gianluigi, editor, Leone, Nicola, editor, and Terracina, Giorgio, editor

Published
2005
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8. Efficient Reasoning About Action and Change in the Presence of Incomplete Information and Its Application in Planning

Author

Tu, Phan Huy, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Etalle, Sandro, editor, and Truszczyński, Mirosław, editor

Published
2006
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17. CPP: A Constraint Logic Programming Based Planner with Preferences.

Author

Carbonell, Jaime G., Siekmann, Jörg, Baral, Chitta, Brewka, Gerhard, Schlipf, John, Tu, Phan Huy, Son, Tran Cao, and Pontelli, Enrico

Abstract

We describe the development of a constraint logic programming based system, called CPP, which is capable of generating most preferred plans with respect to a user's preference and evaluate its performance. [ABSTRACT FROM AUTHOR]

Published
2007
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18. Construction of an Agent-Based Framework for Evolutionary Biology: A Progress Report.

Author

Leite, João, Omicini, Andrea, Torroni, Paolo, Yolum, Pınar, Pan, Yu, Tu, Phan Huy, Pontelli, Enrico, and Son, Tran Cao

Abstract

We report on the development of an agent-based system, called ΦLOG, for the specification and execution of phylogenetic inference applications. We detail the implementation of the main components of the system. In the process, we discuss how advanced techniques developed in different research areas such as domain-specific languages, planning, Web Services discovery and invocation, and Web Service compositions can be applied in the building of the ΦLOG system. [ABSTRACT FROM AUTHOR]

Published
2005
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19. Incremental Information Extraction Using Relational Databases.

Author

Tari, Luis, Tu, Phan Huy, Hakenberg, Jorg, Chen, Yi, Son, Tran Cao, Gonzalez, Graciela, and Baral, Chitta

Subjects
*DATA mining, *DATABASES, *COMPARATIVE grammar, *QUERY languages (Computer science), *INFORMATION storage & retrieval systems, *TEXT mining
Abstract

Information extraction systems are traditionally implemented as a pipeline of special-purpose processing modules targeting the extraction of a particular kind of information. A major drawback of such an approach is that whenever a new extraction goal emerges or a module is improved, extraction has to be reapplied from scratch to the entire text corpus even though only a small part of the corpus might be affected. In this paper, we describe a novel approach for information extraction in which extraction needs are expressed in the form of database queries, which are evaluated and optimized by database systems. Using database queries for information extraction enables generic extraction and minimizes reprocessing of data by performing incremental extraction to identify which part of the data is affected by the change of components or goals. Furthermore, our approach provides automated query generation components so that casual users do not have to learn the query language in order to perform extraction. To demonstrate the feasibility of our incremental extraction approach, we performed experiments to highlight two important aspects of an information extraction system: efficiency and quality of extraction results. Our experiments show that in the event of deployment of a new module, our incremental extraction approach reduces the processing time by 89.64 percent as compared to a traditional pipeline approach. By applying our methods to a corpus of 17 million biomedical abstracts, our experiments show that the query performance is efficient for real-time applications. Our experiments also revealed that our approach achieves high quality extraction results. [ABSTRACT FROM AUTHOR]

Published
2012
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