Publications
2008:
1. Kim, J. Peng, Y., et al: ¡°A Layered Approach to Semantic Similarity Analysis of XML Schemas¡±, in Proceedings of The 2008 IEEE International Conference on Information Reuse and Integration, Las Vegas, NV, July 13 - 15, 2008.
2.
Zhang, S. and Peng, Y: ¡°An
Efficient Method for Probabilistic Knowledge Integration¡±, in Proceedings of The 20th IEEE International
Conference on Tools with Artificial Intelligence (ICTAI-2008), Dayton, Ohio,
Nov. 3-5, 2008
2007:
3. Yu, Y. and Peng, Y: ¡°Learning the Semantic Meaning of a Concept from the Web¡±, in Proceedings of the Twentieth Canadian Conference on Artificial Intelligence (CanAI-2007), Montreal, Qu¨¦bec, Canada, May 28 ¨C 30, 2007.
4. Peng, Y. et al: ¡°A Probabilistic Framework for Semantic Similarity and Ontology Mapping¡± , in Proceedings of the 2007 Industrial Engineering Research Conference, G. Bayraksan, W. Lin, Y. Son, and R. Wysk (eds.), Nashville, TN, May 19 ¨C 23, 2007.
2006:
5.
Pan, R., Peng, Y., and Ding, Z: Belief
Update in Bayesian Networks Using Uncertain Evidence, in Proceedings of the IEEE International
Conference on Tools with Artificial Intelligence (ICTAI-2006), Washington,
DC,13 ¨C 15, Nov. 2006.
6.
Ding, Z., Peng, Y. and Pan, R: BayesOWL: Uncertainty Modeling in Semantic Web
Ontologies¡±, in Soft Computing in
Ontologies and Semantic Web, Springer-Verlag, March 2006.
2005:
7.
Pan, R., Ding,
Z., Yu, Y. and Peng, Y.: ¡°A Bayesian Network Approach to Ontology
Mapping¡±, in Proceedings of the
Fourth International Semantic Web Conference (ISWC 2005), Galway, Ireland,
November 6-10, 2005.
8.
Ding, L., Pan,
R., Finin, T., Joshi, A., Peng, Y., and Kolari, P.: ¡°Finding and Ranking Knowledge on the Semantic Web¡±,
in Proceedings of the Fourth
International Semantic Web Conference (ISWC 2005), Galway, Ireland,
November 6-10, 2005.
9.
Ding, L., Finin,
T., Peng, Y. Joshi, A., da Silva P.,
and McGuinness, D.: ¡°Tracking RDF Graph Provenance Using RDF Molecules¡±,
poster presented at Fourth International
Semantic Web Conference (ISWC 2005),
10.
Ding, L., Pan, R.,
Finin, T., Joshi, A., Peng, Y., and Kolari, P.: ¡°Search
on the Semantic Web¡±, IEEE Computer,
October 2005, 62 ¨C 69.
11.
12.
Pan, R. and Peng,
Y.: ¡°A Framework for Bayesian Network
Mapping¡±, The Twentieth National
Conference on Artificial Intelligence (AAAI-05), Pittsburgh, PA, July 9-13,
2005.
13.
Ding, Z., Peng, Y. Pan, R.,
and Yu, Y: ¡°A Bayesian Methodology Towards
Automatic Ontology Mapping¡±, AAAI-05
Workshop on Contexts and Ontologies: Theory, Practice and Applications
(C&O-2005),
14.
Peng, Y. and
Ding, Z.: ¡°Modifying Bayesian Networks by
Probability Constraints¡±, in Proceedings
of 21st Conference on Uncertainty in Artificial Intelligence
(UAI-2005), Edinburgh, Scotland, July 26-29, 2005.
15.
Ding, L., Kolari,
P., Finin, T., Joshi, A., Peng, Y., and Yesha, Y.: ¡°On Homeland Security and the Semantic Web: A
Provenance and Trust Aware Inference Framework¡±, In Proceedings of the AAAI
Spring Symposium on AI Technologies for Homeland Security, March 2005.
2004:
16.
Ding, Z. and
Peng, Y:¡°A probabilistic extension to the web
ontology language OWL¡±, Thirty-Seventh
17.
Finin, T., Peng,
Y., Cost, R.S., Sachs, J., Joshi, A., Reddivari, P., Pan, R., Doshi, V., Li, D:
¡°Swoogle ¨C a search and metadata engine for the
semantic web¡±, in Proceedings of Conference on Information and Knowledge
Management (CIKM04), 2004.
18.
Watthayu, W. and
Peng, Y: ¡°A Bayesian Network Based Framework
For Multi-Criteria Decision Making¡±, International Conference on
Multi-Criteria Decision Making (MCDM2004), Whistler, B. C. Canada
19.
Luan, X., Peng,
Y., and Finin, T: ¡°Quantitative Agent Service
Matching¡±, in Proceedings of the 2004 IEEE/WIC/ACM International
Conference on Web Intelligence(WI'04), 20-24 September, 2004,
20.
Li Ding et al.,
"Swoogle: A Search and Metadata Engine for the
Semantic Web", Proceedings of the Thirteenth ACM Conference on
Information and Knowledge Management , November 2004.
21.
2003:
22.
Kunjithapatham,
A., Sheshagiri, M., Finin, T., Joshi, A. and Peng, Y: ¡°Personal Agents on the Semantic Web¡±, the
Second International Semantic Web Conference (ISWC2003),
23.
Luan, X., Peng,
Y., and Finin, T.: ¡°Learning in Broker Agent in Innovative Concepts for Agent-Based Systems, Springer-Verlag, 2003,
106-121.
24.
Chen, Y. and Peng
Y.: ¡°An Extended Bayesian Belief Network
Model of Multi-agent Systems for Supply Chain Management¡±, in Innovative Concepts for Agent-Based Systems,
Springer-Verlag, 2003, 335-346.
25.
Zou, Y., Finin,
T., Peng, Y., Joshi, A., and Cost, R.S: ¡°Agent
Communication in DAML World¡±, in Innovative
Concepts for Agent-Based Systems, Springer-Verlag, 2003, 347-354.
26. Peng, Y., Zou, Y., Luan, X., Ivezic, N., Gruninger,
M., and Jones, A.: ¡°Semantic Resolution
for E-Commerce¡±, in Innovative
Concepts for Agent-Based Systems, Springer-Verlag, 2003, 355-366.
2002:
27.
Cost, R.S.,
Finin, T., Joshi, A., Peng, Y., Nicholas, C., Soboroff, I., Chen, H., Kagal,
L., Perich, F., Zou, Y., Tolia S.: ¡°ITTALKS:
A Case Study in the Semantic Web and DAML¡±, IEEE Intelligent Systems,
17(1), 40-47, 2002.
28.
Peng, Y. and Jin,
M.: ¡°A Neural Network Approach to MAP in Belief
Networks¡±, International Journal of Neural Systems, 12(3, 4),
2002, 271 ¨C 290.
29.
Guo, M., Kalra,
G., Peng, Y., and Augsburger, L. ¡°A
Prototype Intelligent Hybrid System For Hard Gelatin Capsule Formulation
Development¡±, Pharmaceutical Research, 26(9), 44-60, 2002.
30.
Peng, Y., Zou,
Y., Luan, X., Ivezic, N., Gruninger, M., and Jones, A.: ¡°Semantic Resolution for E-Commerce¡±,
the NASA Workshop for Radical Agent Concept,
31.
Chen, Y. and Peng
Y.: ¡°An Extended Bayesian Belief Network
Model of Multi-agent Systems for Supply Chain Management¡±, the NASA
Workshop for Radical Agent Concept,
32.
Luan, X., Peng,
Y., and Finin, T.: ¡°Learning in Broker Agent¡±, NASA Workshop for Radical Agent
Concept,
33.
Peng, Y., Zou,
Y., Luan, X., Ivezic, N., Gruninger, M., and Jones, A.: ¡°Towards Semantic-Based
Integration for E-business¡±, International Symposium on manufacturing and
Applications,
34.
Prasad, S., Peng,
Y., and Finin, T.: ¡°A Tool For Mapping
Between Two Ontologies¡±, International Semantic Web Conference (ISWC02),
(poster),
35.
Shah, U., Finin,
T., Peng, Y., and Mayfield, J.: ¡°Information Retrieval on the Semantic Web¡±,
International Semantic Web Conference (ISWC02), (poster),
36.
Prasad, S., Peng,
Y., and Finin, T.: ¡°A Tool For Mapping Between Two
Ontologies Using Explicit Information¡±, Ontologies in Agent Systems (OAS)
workshop, International Conference on Autonomous Agents and Multi-Agent Systems
(AAMAS02), Bonogna, Italy, July, 2002.
37.
Peng, Y., Zou,
Y., Luan, X., Ivezic, N., Gruninger, M., and Jones, A.: ¡°Semantic Resolution for E-Commerce¡±
(poster), International Conference on Autonomous Agents and Multi-Agent Systems
(AAMAS02),
38.
Zou, Y., Finin, T., Peng, Y., Joshi, A., and Cost, R.S: ¡°Agent Communication in DAML World¡±, NASA
Workshop for Radical Agent Concept,
39.
Prasad, S., Peng,
Y., and Finin, T.: ¡°A Tool For Mapping Between
Two Ontologies Using Explicit Information¡±, AAAI Workshop on Meaning
Negotiation,
40.
Kalra, G., Peng,
Y., Guo, M., and Augsburger, L: ¡°A Hybrid
Intelligent System For Formulation Of BCS Class II Drugs In Hard Gelatin
Capsules¡±, Proceedings of the International Conference on Neural
Information Processing,
41. Kumar, S., Kunjithapatham, A., Sheshagiri, M., Finin,
T., Joshi, A., Peng, Y., and Cost, R.S: ¡°A personal agent application for the
semantic web¡±, AAAI Fall Symposium on Personalized Agents,
2001:
42.
Peng, Y. and
Ivezic, N.: ¡°Semantic Resolution for
E-Commerce¡±, Workshop on Ontologies in Agent Systems (OAS), International
Conference on Autonomous Agents (AA01),
43.
Perich, F.,
Kagal, L., Chen, H., Tolia, S., Zou, Y., Finin, T., Joshi, A., Peng, Y., Cost,
R.S., and Nicholas, C.: ¡°ITTALKS: An
Application of Agents in the Semantic Web¡±, Second International Workshop
of the Engineering Societies in the Agents' World, Prague,
Czech Republic, July, 2001.
44.
Kalra, G., Guo,
M., Peng, Y., and Augsburger, L: ¡°A Hybrid
Expert System-Neural Network for Capsule Formulation Support¡±, (poster)
Annual Meeting of the American Association of Pharmaceutical Scientists (AAPS),
Denver, CO, Oct. 2001.
45. Kagal, L., Finin, T. and Peng, Y: ¡°A Delegation Based Model for Distributed Trust Management¡±, in Proceedings of IJCAI-01 Workshop on Autonomy, Delegation, and Control, August 2001. ???
46.
Cost, R.S.,
Finin, T., Joshi, A., Peng, Y., Nicholas, C., Soboroff, I., Chen, H., Kagal,
L., Perich, F., Zou, Y., Tolia S.: ¡°ITTALKS: A
Case Study in the Semantic Web and DAML¡±, Semantic Web Working Symposium,
477-494, Stanford Univeristy, CA, July 30 - Aug. 7, 2001.
47.
Kagal, L., Cost,
C., Finin, T. and Peng, Y: ¡°A Framework for Distributed Trust Management¡±, in Proceedings
of Second Workshop on Norms and Institutions in MAS, Autonomous Agents, May
2001. ???
48. Luan, X., Peng, Y.
and Finin, T.: ¡°Agent Consumer Reports: Of the Agents, By the Agents, and For
the agents¡±, in Proceedings of the Second Asia-Pacific
Conference on Intelligent Agent Technology (IAT'01).
2000:
49.
Cost, R. S.,
Chen, Y., Finin, T., Labrou, Y, and Peng, Y: ¡°Using Colored Petri Nets for
Conversation Modeling¡±, in Agent Communication Languages, F. Dignum and
M. Greaves (editors), Springer-Verlag, Lecture Notes in AI, 2000, 178-192. ??
50.
Peng, Y. and Jin,
M.: ¡°A Mean Field Approach to MAP in Belief
Networks¡±, in Proceedings of The International Joint Conference on
Neural Networks,
51.
Peng, Y.:
¡°Modeling Multiagent Systems by Bayesian Belief Networks¡±, (poster), The
NASA Workshop on Formal Approaches to Agent-based Systems,
52. Fong, E., Ivezic, N., Rhodes, T., and Y. Peng, "Agent-based Services for B2B Electronic Commerce,"
in Network Intelligence: Internet-based Manufacturing, Nina M. Berry
(d.), July 30 ¨C August 4, 2000, San Diego, CA. Proceedings of SPIE Vol. 4208,
106-113, 2000.
1999:
53.
Peng, Y., Finin,
T., Labrou, Y.,
54.
Peng Y, Zhou Z,
and Cho S: ¡°Constructing Belief Networks From
Realistic Data¡±, International Journal of Intelligent Systems, 14(7),
671-695, 1999.
55.
Labrou, Y.,
Finin, T., and Peng, Y: ¡°Agent Communication
Languages: The current landscape¡±, IEEE Intelligent Systems, 14(2),
1999, 45-52.
56.
Labrou, Y.,
Finin, T., and Peng, Y: ¡°The Interoperability
Problem: Bringing together Mobile Agents and Agent Communication Languages¡±,
In Proceedings of the 32nd Hawaii International Conference On System
Sciences, Maui,
57.
Cost, R.S.,
Finin, T., Labrou, Y., Luan, X., Peng, Y., Soboroff,
58.
Cost, R.S., Chen,
Y., Finin, T., Labrou, Y., Peng, Y: ¡°Modeling
Agent Conversation with Colored Petri Nets¡±, Workshop on Specifying and
Implementing Conversation Policies, The International Conference on Autonomous
Agents (Agents '99), 1999.
59.
Cost, R.S., Chen,
Y., Finin, T., Labrou, Y., Peng, Y.: ¡°Using Colored
Petri Nets for Conversation Modeling¡±, in Workshop on Agent
Communication Languages Sixteenth International Joint Conference on Artificial
Intelligence (IJCAI-99),
60.
Cost, R.S.,
Finin, T., Labrou, Y., Luan, X., Peng, Y., Soboroff, I., Mayfield, J., and
Boughannam, A: ¡°An Agent-Based Infrastructure
for Enterprise Integration¡±, First International Symposium on Agent
Systems and Applications (ASA'99) & Third International Symposium on Mobile
Agents (MA'99), 1999.
61.
Peng Y., Finin,
T., Chen, L., Wang, L., Cost, S., Labrou, Y.,
62.
Chen, Y., Peng,
Y., Finin, T., Labrou, Y., Cost, R.S., Chu, B.,Yao, J., Sun, R., Wilhelm, R: ¡°A Negotiation-Based Multi-agent System for Supply
Chain Management¡±, in Workshop on Agent based Decision-Support for
Managing the Internet-Enable Supply-Chain, Proceedings of The International
Conference on Autonomous Agents (Agents '99), Seattle, May, 1999.
63.
Chen, Y., Peng,
Y., Finin, T., Labrou, Y., and Cost, R.S: ¡°Negotiating
agents for Supply Chain Management,¡± in Work Note of AAAI Workshop of
Electronic Commerce,
64.
Peng, Y., Jin,
M., and Chen, K.: ¡°A Neural Network Approach to
MAPs in Belief Networks¡±, in Proceedings of The International Joint
Conference on Neural Networks,
65. Luan, X., Peng, Y.
and Finin, T.: ¡°Learning in Broker Agent¡± (Poster abstract), in Proceedings of the Sixteenth National
Conference on Artificial Intelligence (AAAI-99),
1998:
66.
Peng, Y., Finin,
T., Labrou, Y., Chu, B., Long, J., Tolone, W.J., Boughanam, A: ¡°A Multi-Agent System for Enterprise
Integration¡±, International Journal of Agile Manufacturing, 1(2),
201-212, 1998.
67.
Tolone, W.J.,
68.
Finin T, Labrou
Y. and Peng Y: ¡°
69.
Edwards L., Peng,
Y., and Reggia, J: ¡°Computational Models for the
Formation of Protocell Structure¡±, Artificial Life, 4(1),
61-77, 1998.
70.
Peng, Y., Finin,
T., Labrou, Y., Chu, B., Long, J., Tolone, W.J., and Boughannam, A: ¡°A Multi-Agent System for Enterprise Integration¡±,
in Proceedings of Third International Conference on Practical Applications
of Intelligent Agents and Multi-Agents, London, UK, March 23-25, 1998,
155-169.
71.
Edwards, L. and
Peng, Y: ¡°A Computational Model for the Formation
of Protocell Structures¡±, (abstract). Poster presentation at The
Second Annual International Conference on Computational Molecular Biology,
72.
Edwards, L. and
Peng, Y: ¡°Computational Models for the Formation of Protocell Structures¡±, (a
plenary talk presented at the Sixth International Conference on Artificial
Life), in Artificial Life VI, Proceedings of The Sixth International
Conference on Artificial Life, Los Angeles, CA. June, 1998, 35-42.
73.
Edwards, L. and
Peng, Y: ¡°Computer Simulations of Lipid Aggregates¡±, The Third German
Workshop on Artificial Life,
74. Cost, R.S., Finin, T., Labrou, Y., Luan, X., Peng, Y.,
Soboroff, I., Mayfield, J., and Boughannam, A: ¡°Jackal: A JAVA-based tool for
agent development¡±, Working Notes of the Workshop on Tools for Developing
Agents (AAAI Technical Report), AAAI, Madison, WI, July 26-30, 1998,
1997:
75.
1996:
76.
Reggia J, Peng Y,
and Tuhrim S: ¡°Abductive Causal Models of Diagnosis and Their Realization as
Connectionist Models¡±, in Abduction: Inventing and Evaluating Explanations,
P. O'Rorke and J. Josephson (Eds.), The MIT Press, Cambridge, MA, 1996.
77.
Peng Y and Zhou
Z: ¡°A Neural Network Learning Method for
Belief Networks¡±, International Journal of Intelligent Systems,
11, 1996, 893-916.
78.
Peng Y and Zhou
Z: ¡°Turning Backpropagation Networks into High-Capacity Associative Memories¡±,
in Proceedings of the World Congress on Neural Networks, San Diego, CA,
Sept. 15-18, 1996, 743-748.
79.
Kim H, Cho S, and
Peng Y: ¡°Learning Belief Networks from Realistic Data: A Comparative Study¡±, in
Proceedings of the International Conference on Neural Information Processing
(ICONIP),
80.
Chu, B., Tolone,
W. J., Wilhelm, R., Hegedus, M., Fesko, J., Finin, T., Peng, Y., Jones, C.
Long, J., Matthews, M., Mayfied, J., Shimp, J., and Su, S: ¡°Integrating Manufacturing Softwares for
Intelligent Planning-Execution: A CIIMPLEX Perspective¡±, in Plug and
Play Software for Agile Manufacturing, Proceedings of SPIE, 2913,
Boston, MA, 1996, 96-108.
1995:
81.
Tuhrim S, Reggia
J, and Peng Y: ¡°High-Specificity Neurological Localization Using a
Connectionist Model¡±, AI in Medicine, 1995.
82.
Peng Y, Zhou Z
and McLenney E: ¡°Relaxing Backpropagation Networks as Associative Memories¡±, in
Proceedings of The IEEE International Conference on Neural Networks,
Perth, Australia, Nov. 27 - Dec. 1, 1995, 1777-1782.
Prior to 1995:
83.
Peng Y and Jiang
N: ¡°A Learning Method for Belief Networks¡±, in Proceedings of The Third
International Workshop on Principle of Diagnosis, New Paltz, NY, October,
1994, 234-251.
84.
Peng Y and Jiang
N: ¡°A Learning Method for Belief Networks¡±, in Proceedings of The
International Workshop on Knowledge Engineering and Applications, PRICAI
'94, Beijing, China, Aug. 1994, 23-34.
85.
Peng Y: ¡°A Neural
Network Learning Method for Causal Networks¡±, in Proceedings of the IEEE
International Conference on Systems, Man and Cybernetics,
86.
Reggia J, Chou H,
Armentrout L and Peng Y: ¡°Minimizing Complexity in Cellular Automata Models of
Self-Replication¡±, in Proceedings of the First International Conference on
Intelligent Systems for Molecular Biology, Washington, DC, July 1993,
337-344.
87.
Peng Y. and
Reggia J: ¡°A Neural Network Model for Diagnostic Problem-Solving¡±, in Intelligent
Modeling, Diagnosis and Control of Manufacturing Processes, B. Chu and S.
Chen (Eds.), World Scientific Publishing, 1992, 83-110.
88.
Reggia J, Peng Y,
and Bourret P: ¡°Recent Applications of Competitive Activation Mechanisms¡±, in Neural
Networks: Advances and Applications,
89.
Peng Y and Reggia
J: Abductive Inference Models for Diagnostic Problem Solving,
90.
Peng Y and Reggia
J: ¡°Integration of Symbolic Causal Inference and Numeric Probabilistic
Inference¡±, in Systems and Control Encyclopedia (First Supplement), M.
Singh (Ed.), Pergamon Books Ltd., Oxford, United Kingdom, 1990, 567-573.
91.
McFadden F, Peng
Y, and Reggia J: ¡°Phase Transitions in Neural Networks with Variable Connection
Strengths: New Results¡±, Neural Networks, 6, 1993, 667-676.
92.
Reggia J,
Armentrout S, Chou H, and Peng, Y: ¡°Simple Systems Exhibiting Self-Directed
Replication¡±, Science, 259,
93.
Reggia J, Peng Y,
and Tuhrim S: ¡°A Connectionist Approach to Diagnostic Problem-Solving Using
Causal Networks¡±, Information Sciences, 70, 1993, 27-48.
94.
McFadden F, Peng
Y, and Reggia J: ¡°Local Analysis of Phase Transitions in Neural Networks with
Varying Connection Strengths¡±, in Proceedings of the International Joint
Conference on Neural Networks, Baltimore, MD, June, 1992, III, 109-114
95.
Peng Y: ¡°Learning
Probabilities for Causal networks¡±, in Proceedings of the International
Joint Conference on Neural Networks, Baltimore, MD, June, 1992, IV, 97-102.
96.
Peng Y, Reggia J,
and Li T: ¡°A Connectionist Approach to Vertex Covering Problems'', International
Journal of Neural Systems, 3 (1) 1992, 43-56.
97.
Li T and Peng Y:
¡°Design and Analysis of Competition Based Neural Networks¡±, Complex Systems,
5 (2), 1991, 509-524.
98.
Goodall S, Reggia
J, Peng Y, and Berndt R: ¡°A Model of Oral Reading with Relevance to Acquired
Dyslexia¡±, in Proceedings of the 14th Annual Symposium on Computer
Applications in Medical Care, Washington, DC, Aug. 1990.
99.
Reggia J, Peng Y,
and Tuhrim S: ¡°The Role of Connectionist Methods in Abductive Diagnostic
Problem-Solving¡±, in Proceedings of the First International Workshop on
Principles of Diagnosis, AAAI, Palo Alto, CA, July 1990, 83-91.
100.
Reggia J and Peng
Y: ¡°Parsimonious Covering Theory and Non-Diagnostic Tasks¡±, in Proceedings
of the AAAI Spring Symposium on Abduction,
101.
Peng Y: ¡°A Neural
Network Approach to Vertex Cover Problems¡±, in Proceedings of The
International Joint Conference on Neural Networks,
102.
Peng Y and Reggia
J: ¡°A Connectionist Model for Diagnostic Problem Solving¡±, IEEE Transactions
on System, Man and Cybernetics, 19 (2), 1989, 285-298.
103.
Peng Y and Reggia
J: ¡°Comfort Measure for Diagnostic Problem-Solving¡±, Information Sciences,
47, 1989, 149-184.
104.
Peng Y: ¡°A
Connectionist Solution for Vertex Cover Problems, in Learning and
Recognition: A Modern Approach, Proceedings of The
105.
Reggia J and Peng
Y: ¡°Modeling Diagnostic Reasoning: A Summary of Parsimonious Covering Theory¡±, Computer
Methods and Programs in Biomedicine, 25, 1987, 125-134.
106.
Peng Y and Reggia
J: ¡°Diagnostic Problem-Solving with Causal Chaining¡±, International Journal
of Intelligent Systems, 2, 1987, 265-302.
107.
Peng Y and Reggia
J: ¡°A Probabilistic Causal Model for Diagnostic Problem-Solving, Part Two:
Diagnostic Strategy¡±, IEEE Transactions on Systems, Man and Cybernetics,
17 (3) 1987, 395-406.
108.
Peng Y and Reggia
J: ¡°A Probabilistic Causal Model for Diagnostic Problem Solving. Part One:
Integrating Symbolic Causal Inference with Numeric Probabilistic Inference¡±, IEEE
Transactions on Systems, Man and Cybernetics, 17 (2), 1987, 146-162.
109.
Reggia J and Peng
Y: ¡°Modeling Diagnostic Reasoning: A Summary of Parsimonious Covering Theory¡±,
in Proceedings of the 10th Annual Symposium on Computer Applications in
Medical Care,
110.
Peng Y and Reggia
J: ¡°Plausibility of Diagnostic Hypotheses: the Nature of Simplicity¡±, in Proceedings
of the Fifth National Conference on Artificial Intelligence,
111.
Reggia J, Nau D,
Wang P, and Peng Y: ¡°A Formal Model of Diagnostic Inference, Part Two:
Algorithmic Solution and Application¡±, Information Sciences, 37,
1985, 257-285.
112.
Reggia J,
Perricone B, Nau D, and Peng Y: ¡°Answer Justification in Diagnostic Expert
Systems. Part Two: Supporting Plausible Justifications¡±, IEEE Transactions
on Biomedical Engineering, 32 (4) 1985, 268-272.
113.
Reggia J,
Perricone B, Nau D, and Peng Y: ¡°Answer Justification in Diagnostic Expert
Systems. Part One: Abductive Inference and Its Justification¡±, IEEE
Transactions on Biomedical Engineering, 32(4) 1985, 263-267.
114.
Reggia J, Nau D,
Peng Y, and Perricone B: ¡°A Theoretical Foundation for Abductive Expert
System¡±, in Approximate Reasoning in Expert System, M.
Gupta, A. Kandel, W. Bandler and J. Kiszka (Eds.), Elsevier Science Publishers
(North Holland), Amsterdam, Netherlands, 1985, 459-472.