| |
 |      |
                                              |
Note: Links lead to the DBLP on the Web. John Yen Heejin Lim , John Yen: Preliminary Study of Attention Control Modeling in Complex Skill Training Environments. Canadian Conference on AI 2004 : 120-132 Yu Zhang , Richard A. Volz , Thomas R. loerger , John Yen: A decision-theoretic approach for designing proactive communication in multi-agent teamwork. SAC 2004 : 64-71 John Yen: Introduction to the special issue on emerging technologies for homeland security. Commun. ACM 47 (3): 32-35 (2004) Paul A. Kogut , John Yen, Yui Leung , Shuang Sun , Rui Wang , Ted Mielczarek , Ben Hellar : Proactive information gathering for homeland security teams. Commun. ACM 47 (3): 48-50 (2004) John Yen, Xiaocong Fan , Shuang Sun , Rui Wang , Cong Chen , Kaivan Kamali , Michael S. Miller , Richard A. Volz : Formal semantics and communication strategies for proactive information delivery among team-based agents. AAMAS 2003 : 1166-1167 Dwi H. Widyantoro , Thomas R. Ioerger , John Yen: Tracking changes in user interests with a few relevance judgments. CIKM 2003 : 548-551 John Yen, Xiaocong Fan , Richard A. Volz : Proactive Communications in Agent Teamwork. Workshop on Agent Communication Languages 2003 : 271-290 Dianxiang Xu , Richard A. Volz , Thomas R. Ioerger , John Yen: Modeling and Analyzing Multi-Agent Behaviors Using Predicate/Transition Nets. International Journal of Software Engineering and Knowledge Engineering 13 (1): 103-124 (2003) Yu Zhang , Richard A. Volz , Thomas R. Ioerger , Sen Cao , John Yen: Proactive Information Exchange During Team Cooperation. IC-AI 2002 : 341-346 Dwi H. Widyantoro , Thomas R. Ioerger , John Yen: An Incremental Approach to Building a Cluster Hierarchy. ICDM 2002 : 705-708 John Yen, Xiaocong Fan : The Semantics of Proactive Communication Acts among Team-Based Agents. ICTAI 2002 : 447-454 Xiaocong Fan , John Yen: A Framework for Splitting BDI Agents. LPAR 2002 : 160-174 Dianxiang Xu , Richard A. Volz , Thomas R. Ioerger , John Yen: Modeling and verifying multi-agent behaviors using predicate/transition nets. SEKE 2002 : 193-200 Dwi H. Widyantoro , John Yen: A Fuzzy Ontology-based Abstract Search Engine and Its User Studies. FUZZ-IEEE 2001 : 1291-1294 John Yen, Jianwen Yin , Thomas R. Ioerger , Michael S. Miller , Dianxiang Xu , Richard A. Volz : CAST: Collaborative Agents for Simulating Teamwork. IJCAI 2001 : 1135-1144 Dwi H. Widyantoro , Thomas R. Ioerger , John Yen: Learning user interest dynamics with a three-descriptor representation. JASIST 52 (3): 212-225 (2001) Jianwen Yin , Michael S. Miller , Thomas R. Ioerger , John Yen, Richard A. Volz : A knowledge-based approach for designing intelligent team training systems. Agents 2000 : 427-434 Linyu Yang , John Yen: An Adaptive Simplex Genetic algorithm. GECCO 2000 : 379 Linyu Yang , Zhong He , John Yen, Ching Wu : A Neural Network Approach to Predict Existing and Infill Oil Well Performance. IJCNN (4) 2000 : 408-413 Michael S. Miller , Jianwen Yin , Richard A. Volz , Thomas R. Ioerger , John Yen: Training Teams with Collaborative Agents. Intelligent Tutoring Systems 2000 : 63-72 Magy Seif El-Nasr , John Yen, Thomas R. Ioerger : FLAME-Fuzzy Logic Adaptive Model of Emotions. Autonomous Agents and Multi-Agent Systems 3 (3): 219-257 (2000) Magy Seif El-Nasir , Thomas R. Ioerger , John Yen: PETEEI: A PET With Evolving Emotional Intelligence. Agents 1999 : 9-15 Magy Seif El-Nasr , Thomas R. Ioerger , John Yen, Donald H. House , Frederic I. Parke : Emotionally Expressive Agents. CA 1999 : 48-57 Dwi H. Widyantoro , Thomas R. Ioerger , John Yen: An Adaptive Algorithm for Learning Changes in User Interests. CIKM 1999 : 405-412 John Yen: Fuzzy Logic - A Modern Perspective. IEEE Trans. Knowl. Data Eng. 11 (1): 153-165 (1999) Biao Chen , Yingbi Zhang , John Yen: Fuzzy adaptive connection admission control for real-time applications in ATM-based heterogeneous networks. Journal of Intelligent and Fuzzy Systems 7 (2): 125-135 (1999) John Yen, Liang Wang : Constructing optimal fuzzy models using statistical information criteria. Journal of Intelligent and Fuzzy Systems 7 (2): 185-201 (1999) Jianwen Yin , Magy Seif El-Nasr , Linyu Yang , John Yen: Incorporating Personality into a Multi-Agent Intelligent System for Training Teachers. Intelligent Tutoring Systems 1998 : 484-493 John Yen, Swee Hor Teh , William Lively : Principled Modeling and Automatic Classification for Enhancing the Reusability of Problem Solving Methods of Expert Systems. Appl. Intell. 8 (2): 139-155 (1998) John Yen, W. Amos Tiao : A Formal Methodology for Analyzing Tradeoffs of Imprecise Requirements. International Journal of Software Engineering and Knowledge Engineering 8 (2): 283-311 (1998) John Yen, W. Amos Tiao : A Systematic Tradeoff Analysis for Conflicting Imprecise Requirements. RE 1997 : 87- John Yen, Bogju Lee , James C. Liao : Using a Hybrid Genetic Algorithm and Fuzzy Logic for Metabolic Modeling. AAAI/IAAI, Vol. 1 1996 : 743-749 Xiaoqing Frank Liu , John Yen: An Analytic Framework for Specifying and Analyzing Imprecise Requirements. ICSE 1996 : 60-69 John Yen, Xiaoqing Liu , Swee Hor Teh : The Acquisition, Analysis and Evaluation of Imprecise Requirements for Knowledge-Based Systems. AAAI 1994 : 541-546 John Yen, Swee Hor Teh , William Lively : Principled Modeling and Automatic Classification for Enhancing the Reusability of Problem-Solving Methods of Expert Systems. IEA/AIE 1994 : 93-102 Haojin Wang , John Yen, Jan Wolter : A General Model for Handling Errors during the Execution of Trigger Rules for an Active Object-Oriented DBMS. RIDE-ADS 1994 : 132-136 John Yen, Piero P. Bonissone , Didier Dubois , Christian Freksa , Ramon López de Mántaras , Enrique H. Ruspini , Lotfi A. Zadeh : Fuzzy Logic and AI. IJCAI 1993 : 1673-1676 John Yen, Jonathan Lee : A Task-Based Methodology for Specifying Expert Systems. IEEE Expert 8 (1): 8-15 (1993) Jonathan Lee , John Yen, Josette Pastor : TAME: An Integrated Environment for Task-Based Knowledge and Specification Acquisition. ICTAI 1992 : 342-345 John Yen: Nonmonotonic Logic vs. Fuzzy Logic. ICTAI 1992 : 4 John Yen, Nathan Pfluger : Using Fuzzy Logic in a Mobile Robot Path Controller. Fuzzy Logic and Fuzzy Control 1991 : 133-142 John Yen: Generalizing Term Subsumption Languages to Fuzzy Logic. IJCAI 1991 : 472-477 John Yen, Hsiao-Lei Juang , Robert M. MacGregor : Using Polymorphism to Improve Expert System Maintainability. IEEE Expert 6 (2): 48-55 (1991) John Yen, Robert Neches , Robert M. MacGregor : CLASP: Integrating Term Subsumption Systems and Production Systems. IEEE Trans. Knowl. Data Eng. 3 (1): 25-32 (1991) John Yen: A Principled Approach to Reasoning About the Specificity ofRules. AAAI 1990 : 701-707 Peter F. Patel-Schneider , Bernd Owsnicki-Klewe , Alfred Kobsa , Nicola Guarino , Robert M. MacGregor , William S. Mark , Deborah L. McGuinness , Bernhard Nebel , Albrecht Schmiedel , John Yen: Term Subsumption Languages in Knowledge Representation. AI Magazine 11 (2): 16-23 (1990) John Yen: GERTIS: A Dempster-Shafer Approach to Diagnosing Hierarchical Hypotheses. Commun. ACM 32 (5): 573-585 (1989) John Yen, Robert Neches , Michael DeBellis : Specification by Reformulation: A Paradigm for Building Integrated User Support Environments. AAAI 1988 : 814-818 John Yen: A framework of fuzzy evidential reasoning. UAI 1988 : 227-240 John Yen: Implementing Evidential Reasoning in Expert Systems. UAI 1987 : 333-346 John Yen: Can Evidence be Combined in the Dempster-Shafer Theory? UAI 1987 : 63-72 John Yen: A Reasoning Model Based on an Extended Dempster-Shafer Theory. AAAI 1986 : 125-131 1 [ 16 ] 2 [ 44 ] 3 [ 27 ] 4 [ 48 ] 5 [ 5 ] 6 [ 16 ] 7 [ 31 ] 8 [ 25 ] [ 30 ] [ 32 ] 9 [ 41 ] [ 42 ] [ 46 ] [ 48 ] 10 [ 16 ] 11 [ 7 ] 12 [ 34 ] 13 [ 49 ] 14 [ 30 ] 15 [ 29 ] [ 30 ] [ 31 ] [ 32 ] [ 33 ] [ 36 ] [ 37 ] [ 38 ] [ 40 ] [ 43 ] [ 44 ] [ 45 ] [ 47 ] 16 [ 10 ] 17 [ 48 ] 18 [ 7 ] 19 [ 49 ] 20 [ 21 ] 21 [ 14 ] [ 15 ] 22 [ 49 ] 23 [ 21 ] 24 [ 52 ] 25 [ 19 ] 26 [ 20 ] 27 [ 18 ] [ 24 ] 28 [ 7 ] [ 9 ] [ 10 ] 29 [ 16 ] 30 [ 7 ] 31 [ 7 ] 32 [ 49 ] 33 [ 33 ] [ 36 ] [ 38 ] [ 48 ] 34 [ 7 ] 35 [ 5 ] [ 9 ] 36 [ 7 ] 37 [ 30 ] 38 [ 14 ] 39 [ 7 ] 40 [ 12 ] 41 [ 16 ] 42 [ 7 ] 43 [ 48 ] [ 49 ] 44 [ 18 ] [ 19 ] [ 24 ] 45 [ 22 ] [ 23 ] 46 [ 33 ] [ 36 ] [ 38 ] [ 40 ] [ 44 ] [ 45 ] [ 46 ] [ 48 ] [ 51 ] 47 [ 17 ] 48 [ 26 ] 49 [ 48 ] [ 49 ] 50 [ 29 ] [ 37 ] [ 39 ] [ 43 ] [ 47 ] 51 [ 17 ] 52 [ 34 ] 53 [ 38 ] [ 40 ] [ 45 ] 54 [ 25 ] [ 34 ] [ 35 ] 55 [ 25 ] [ 33 ] [ 36 ] [ 38 ] 56 [ 16 ] 57 [ 27 ] 58 [ 44 ] [ 51 ] 59 [ 51 ]  ©2004 Association for Computing Machinery |
