Journal Articles and Book Chapters

 

   Schwartz, D. G. (2014). Qualified syllogisms with fuzzy predicates. International Journal of Intelligent Systems, 29(10), 926-945.

 

  Schwartz, D. G. (2010). A logic for qualified syllogisms. In Elleithy, K. (Ed.), Advanced Techniques in Computing Sciences and Software Engineering (pp. 45-50). New York, NY: Springer.

 

  Ustymenko, S., & Schwartz, D. G. (2010). Algorithms for maintaining a consistent knowledge base in distributed multiagent environments. In Elleithy, K. (Ed.), Innovations in Computing Sciences and Software Engineering (pp. 105-110). New York, NY: Springer.

 

  Ustymenko, S., & Schwartz, D. G. (2010). Dynamic web of trust in an agent community. In Semantic Web: Standards, Tools and Ontologies (pp. 169-194). Hauppauge, NY: Nova Science Publishers, ISBN: 978-1-61668-471-6.

 

   Schwartz, D. G. (2010). Formal specifications for a document management assistant. In Elleithy, K. (Ed.), Innovations in Computing Sciences and Software Engineering (pp. 111-116). New York, NY: Springer.

 

  Ustymenko, S., & Schwartz, D. G. (2008). Architecture for belief revision in multi-agent intelligent systems. In Elleithy, K. (Ed.), Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering (pp.

         465-470). New York, NY: Springer.

 

   Ustymenko, S., & Schwartz, D. G. (2008). Adapting software engineering design patterns for ontology construction. WSEAS Transactions on Information Science and Applications, 5(6), 9.

 

   Long, J., & Schwartz, D. G. (2008). Case-oriented alert correlation. WSEAS Transactions on Computers, 7(3), 98-112.

 

   Ustymenko, S., & Schwartz, D. G. (2008). Dynamic agent-oriented reasoning about belief and trust. Multiagent and Grid Systems: An International Journal, 4(2), 335-346.

 

  Bassiouni, M., Bier, V. M., Carayon, P., Chandra, J., Guha, R. K., Kraemer, S. B., Robinson, S. M., Schwartz, D. G., & Stoecklin, S. (2007). Analysis, modeling, and simulation for networked systems. In Wang, C. (Ed.), Department of Defense Sponsored Information Security Research: New Methods for Protecting Against Cyber Threats (pp. 440-465). Indianapolis, IN: Wiley.

 

   Long, J., Schwartz, D. G., & Stoecklin, S. (2005). Multi-sensor network intrusion detection: a case-based approach. WSEAS Transactions on Computers, 4(12), 1768-1776.

 

   Schwartz, D. G. (2003). Agent-oriented epistemic reasoning: subjective conditions of knowledge and belief. Artificial Intelligence, 148(1-2), 177-195.

 

   Schwartz, D. G. (2000). Layman's probability theory: a calculus for reasoning with linguistic likelihood. Information Sciences, 126(1-4), 71-82.

 

  Schwartz, D. G. (1998). Fuzzy mathematical objects. In Ruspini, E., Bonissone, P., & Pedrycz, W. (Eds.), Handbook of Fuzzy Computation (pp. B2.7:1-12). New York: Oxford University Press and Institute of Physics

 

  Schwartz, D. G. (1998). Time, nonmonotonicity, qualifed syllogisms, and the frame problem. Journal of Intelligent Systems, 8(3-4), 315-355.

 

   Schwartz, D. G. (1997). Dynamic reasoning with qualifed syllogisms. Artifcial Intelligence, 93(1-2), 103-167.

 

   Chung, H. -T., & Schwartz, D. G. (1995). A resolution-based system for symbolic approximate reasoning. International Journal of Approximate Reasoning, 13(3), 201-246.

 

   Schwartz, D., Klir, G. J., Lewis, H. W., & Ezawa, Y. (1994). Applications of fuzzy sets and approximate reasoning. Proceedings of the IEEE, 82(4), 482-498.

 

   Schwartz, D. G., & Klir, G. J. (1993). Fuzzy logic flowers in Japan. bit, 25(4), 4-13.

 

   Schwartz, D. G., & Klir, G. J. (1992). Fuzzy logic fowers in Japan. IEEE Spectrum, 29(7), 32-35.

 

   Tamir, D. E., Schwartz, D. G., & Kandel, A. (1991). A pattern recognition interpretation of implications. Information Sciences, 57-58, 197-215.

 

   Schwartz, D. G. (1991). A system for reasoning with imprecise linguistic information. International Journal of Approximate Reasoning, 5, 463-488.

 

   Schwartz, D. G. (1989). Fuzzy inference in a formal theory of semantic equivalence. Fuzzy Sets and Systems, 31, 205-216.

 

   Schwartz, D. G. (1987). A free-variable theory of primitive recursive arithmetic. Zeitschrift fur Mathematische Logik und Grundlagen der Mathematik, 33, 147-157.

 

   Schwartz, D. G. (1987). Axioms for a theory of semantic equivalence. Fuzzy Sets and Systems, 21, 319-349.

 

   Schwartz, D. G. (1987). On the equivalence between logic-free and logic-bearing systems of primitive recursive arithmetic. Zeitschrift fur Mathematische Logik und Grundlagen der Mathematik, 33, 245-253.

 

   Schwartz, D. G. (1987). Semantic completeness of free-variable theories. Zeitschrift fur Mathematische Logik und Grundlagen der Mathematik, 33, 441-452.

 

   Schwartz, D. G. (1985). The case for an interval-based representation of linguistic truth. Fuzzy Sets and Systems, 17, 153-165.

 

  Schwartz, D. G. (1981). Isomorphisms of G. Spencer-Brown's Laws of Form and F. Varela's Calculus for Self-Reference. International Journal of General Systems, 6, 239-255.

 

 

Conference Articles

 

   Hasan, M. A., & Schwartz, D. G. (2019). A multi-criteria decision support system for Ph.D. supervisor selection: a hybrid approach. In 52nd Hawaii International Conference on System Sciences 2019 (HICSS-19), Grand Wailea, Maui, Hawaii, January 8-11, 2019, pp. 1823-1832 (pp. 10). Don't know.

 

   Hasan, M. A., & Schwartz, D. G. (2018). RecAdvisor: Criteria-based Ph.D. supervisor recommendation. In The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, Ann Arbor, Michigan, U.S.A. July 8-12, 2018 (pp. 4). ACM.

 

   Schwartz, D. (2017). A theory of event possibility with application to vehicle waypoint navigation. In P. Melin, et al. (Eds.), 36th North American Fuzzy Information Processing Society Annual Conference (pp. 329-334). Springer. Proceedings published as Fuzzy Logic in Intelligent System Design: Theory and Applications, Advances in Intelligent Systems and Computing 648, Springer, 2017.

 

   Schwartz, D. (2016). On the possibility of an event. In Hamid R. Arabnia, et al. (Ed.), 18th International Conference on Artificial Intelligence (ICAI'16) July 25-28, 2016, Las Vegas, Nevada, USA; held as part of WORLDCOMP'16 (pp. 47-51). CSREA Press.

 

   Schwartz, D. G. (2015). On the probability of a fuzzy event, with application to nonmonotonic reasoning. In 34th Annual Conference of NAFIPS (North American Fuzzy Information Processing Society) and the 5th World Conference on Soft Computing, DigiPen Institute of Technology, Redmond, WA, August 17-19 (pp. 6). .

 

   Schwartz, D. G. (2014). Nonmonotonic reasoning as a temporal activity. In 15th International Workshop on Non-Monotonic Reasoning, 17-19 July 2014, Part of the Vienna Summer of Logic, Vienna, Austria (pp. 10). Vienna summer of Logic, 2014.

 

   Schwartz, D. G. (2014). Qualified syllogisms with fuzzy predicates. In Logic, Algebra and Truth Degrees 2014 (LATD 2014), Fourth conference of the working group on Mathematical Fuzzy Logic, 16-19 July 2014, Part of the Vienna Summer of Logic, Vienna, Austria (pp. 4). Vienna Summer of Logic, 2014.

 

   Schwartz, D. G. (2013). A logic for qualified syllogisms. In Advance Trends in Soft Computing, Proceedings of the Third World Congress on Soft Computing (WCSC-13), San Antonio, TX, USA, December 16-18 (pp. 33-46). Springer-Verlag.

 

   Ustymenko, S., & Schwartz, D. G. (2012). Modeling local belief revision in a dynamic reasoning system. In 25th Canadian Conference on Artificial Intelligence (AI 2012), York University, Toronto, Ontario, Canada (pp. 368-373). New York, NY: Springer.

 

   Ustymenko, S., & Schwartz, D. G. (2011). Towards agent-oriented knowledge base maintenance for description logic ALCN. In The 22nd Midwest Artificial Intelligence and Cognitive Science Conference (MAICS 2011), Cincinnati, OH (pp. 166-171). Manfred Jeusfeld, Tilburg University, The Netherlands: CEUR-WS.org.

 

   Ustymenko, S., & Schwartz, D. G. (2010). Dynamic reasoning for description logic terminologies. In Advances in Artificial Intelligence, 23rd Canadian Conference on Artificial Intelligence (Candadian AI 2010), University of Ottawa, Ontario, Canada (pp. 340-343). New York, NY: Springer.

 

   Schwartz, D. G. (2010). Relatedness, relevance, and specificity for concept taxonomies. In International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 10). New York, NY: Springer.

 

   Ustymenko, S., & Schwartz, D. G. (2009). Algorithms for maintaining a consistent knowledge base in distributed multiagent environments. In International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 09), Online Conference (pp. 105-110). New York, NY: Springer.

 

subconference Systems, Computing Sciences, and Software Engineering (SCSS 09), hosted by University of Bridgeport, CT.

 

   Schwartz, D. G. (2009). Formal specifications for a document management assistant. In International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 09), Online Conference (pp. 111-116), subconference Systems, Computing Sciences, and Software Engineering (SCSS 09), New York, NY: Springer.

 

   Ustymenko, S., & Schwartz, D. G. (2009). Trust and classification: towards community ontology revision and knowledge management. In 2009 IEEE Toronto International Conference - Science and Technology for Humanity (TIC-STH 2009), Ryerson University, Toronto, Ontario, Canada (pp. 262-267). New York, NY: IEEE Press.

 

   Schwartz, D. G. (2008). A logic for qualified syllogisms. In International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 08), subconference Systems, Computing Sciences, and Software Engineering (SCSS 08) (pp. 45-50). New York, NY: Springer.

 

   Ustymenko, S., & Schwartz, D. G. (2008). Architecture for decision-making and task-oriented reasoning for the Web of Trust. In International Conference of Computational Methods in Sciences and Engineering 2008 (ICCMSE 2008), Crete, Greece (pp. 847-850). Melville, NY: American Institute of Physics.

 

   Schwartz, D. G., & Long, J. (2008). Case-based multi-sensor intrusion detection. In International Conference of Computational Methods in Sciences and Engineering 2008 (ICCMSE 2008), Special Session on Computer Science, Crete, Greece (pp. 843-846). Melville, NY: American Institute of Physics.

 

   Ustymenko, S., & Schwartz, D. G. (2007). Architecture for belief revision in multi-agent intelligent systems. In Proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 07), Online Conference (pp. 167), part of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE'07), New York, NY: Springer.

 

   Ustymenko, S., & Schwartz, D. G. (2006). An agent-oriented logic for belief and trust. In International Workshop on Engineering Semantic Agent Systems (ESAS 2006), held in conjunction with 30th IEEE Annual International Computer Software and Applications Conference (COMPSAC'06) Chicago, IL (pp. 321-326). New York, NY: IEEE Press.

 

   Long, J., Schwartz, D. G., & Stoecklin, S. (2006). Distinguishing false from true alerts in Snort by data mining patterns of alerts. In Data Mining, Intrusion Detection, Information Assurance, and Data Networks Conference, SPIE Defense and Security Symposium 2006, Kissimmee, FL (pp. 17-21). Bellingham, WA: SPIE.

 

   Ustymenko, S., & Schwartz, D. G. (2006). Online communities and online repositories: towards improving digital libraries by collaborative ontology-based filtering. In Simos, T. E., & Psihouios, G. (Eds.), International e-Conference on Computer Science (IeCCS 2006), Online Conference (pp. 255-258). Leiden and Boston: Brill Academic Publishers.

 

   Long, J., Schwartz, D. G., & Stoecklin, S. (2005). An XML distance measure. In The 2005 International Conference on Data Mining (DMIN'05), Las Vegas, NV (pp. 119-125). CSREA Press 2005: Las Vegas, NV.

 

   Long, J., Schwartz, D. G., & Stoecklin, S. (2005). Application of case-based reasoning to multi-sensor network intrusion detection. In WSEAS/IASME International Conference on Computational Intelligence, Man-Machine Systems, and Cybernetics (CIMMACS'05), Miami, FL (pp. 260-269). Stevens Point, WI: World Scientific and Engineering Academy and Society (WSEAS).

 

   Long, J., Schwartz, D. G., Stoecklin, S., & Patel, M. (2005). Application of loop reduction to learning program behaviors for anomaly detection. In International Conference on Information Technology: Coding and Computing (ITCC'05), Las Vegas, NV (pp. 691-696). New York, NY: IEEE Press.

 

   Ustymenko, S., & Schwartz, D. G. (2005). Applying object-oriented metaphors and design patterns in defining semantic metadata schema. In First Online Conference on Metadata and Semantics Research (MTSR'05), Online Conference (pp. 691-696). Paramus, NJ: Rinton Press.

 

   Stoecklin, S., Schwartz, D. G., Yilmaz, E., & Patel, M. (2004). A metadata architecture for case-based reasoning. In The 2004 International Conference on Artificial Intelligence (IC-AI'04), Las Vegas, NV (pp. 790-794). Las Vegas, NV: CSREA Press.

 

   Long, J., Stoecklin, S., Schwartz, D. G., & Patel, M. (2004). Adaptive similarity measures in case-based reasoning. In The 6th IASTED International Conference on Intelligent Systems and Control (ISC'04),Honolulu, HI (pp. 260-265). Anaheim, CA: ACTA Press.

 

   Patel, M., Stoecklin, S., & Schwartz, D. G. (2004). Graphical user interface using a reflective architecture and XML. In The 2004 International Conference on Software Engineering Research and Practice (SERP'04), Las Vegas, NV (pp. 648-651). Las Vegas, NV: CSREA Press.

 

   Yilmaz, E., Stoecklin, S., & Schwartz, D. G. (2003). Toward a generic case-based reasoning framework using adaptive software architectures. In The 2003 International Conference on Information and Knowledge Engineering (IKE'03), Las Vegas, NV (pp. 512-513). Las Vegas, NV: CSREA Press.

 

   Schwartz, D. G., Stoecklin, S., & Yilmaz, E. (2002). A case-based approach to network intrusion detection. In Fifth International Conference on Information Fusion (IF'02), Annapolis, MD (pp. 1084-1089). New York, NY: IEEE Press.

 

   Guha, R., Kachirski, O., Schwartz, D. G., & Yilmaz, E. (2002). Case-based agents for packet-level intrusion detection in ad hoc networks. In Seventeenth International Symposium on Computer and Information Sciences (ISCIS'02), Orlando, FL (pp. 315-320). Boca Raton, FL: CRC Press.

 

   Schwartz, D. G. (2000). A min-max logic for linguistic likelihood. In Seventh International Conference on Fuzzy Theory & Technology (FTT'2000), held as part of The Fifth Joint Conference held as part of The Fifth Joint Conference on Information Sciences (JCIS'2000), Atlantic City, NJ (pp. 37-40). New York, NY: IEEE Press.

 

   Schwartz, D. G. (2000). Lukasiewicz inference in Layman's Probability Theory. In North American Fuzzy Information Processing Society, NAFIPS'2000, Atlanta, GA (pp. 420-423). New York, NY: Elsevier Science Inc.

 

   Schwartz, D. G. (1999). Intelligent indexes with inheritable fuzzy relations. In North American Fuzzy Information Processing Society, NAFIPS'99, New York, NY (pp. 371-375). New York, NY: Elsevier Science Inc.

 

   Schwartz, D. G. (1996). On the semantics for qualified syllogisms. In Fifth IEEE International Conference on Fuzzy Systems (FUZZIEEE'96), New Orleans, LA (pp. 941-946). New York, NY: IEEE Press.

 

   Schwartz, D. G. (1995). Default reasoning with qualified syllogisms. In Third International Symposium on Uncertainty Modelling and Analysis and the Annual Conference of the North American Fuzzy Information Processing Society, ISUMA/NAFIPS'95, College Park, MD (pp. 396-401). New York, NY: IEEE Press.

 

   Schwartz, D. G. (1994). A connection between fuzzy quantifiers and the classical modalities. In International Joint Conference of The North American Fuzzy Information Processing Society Biannual Conference, The International Fuzzy Control and Intelligent Systems Conference, NAFIPS/IFIS/NASA '94 (pp. 310-314). New York, NY: IEEE Press.

 

   Schwartz, D. G. (1994). A framework for combining fuzzy modifiers. In Third IEEE Conference on Fuzzy Sets and Systems (FUZZIEEE'94), Orlando, FL (pp. 1126-1131). New York, NY: IEEE Press.

 

   Uh, G. R., & Schwartz, D. G. (1993). Predicting consumer expenditure behavior with neural nets. In World Congress on Neural Networks, Portland, OR (pp. I-412-I-415). New York, NY: Psychology Press.

 

   Schwartz, D. G. (1993). Toward a logic for fuzzy syllogisms. In Second IEEE Conference on Fuzzy Systems (FUZZIEEE'93), San Francisco, CA (pp. 71-75). New York, NY: IEEE Press.

 

   Schwartz, D. G. (1992). A min-max semantics for fuzzy likelihood. In IEEE International Conference on Fuzzy Systems (FUZZIEEE'92), San Diego, California (pp. 1393-1398). New York, NY: IEEE Press.

 

   Schwartz, D. G. (1992). Japanese advances in fuzzy systems research. In Society for Photo-Optical Instrumentation Engineers (SPIE'92), Orlando, FL (pp. 583-597). Bellingham, WA: SPIE Press.

 

   Schwartz, D. G. (1992). Representing fuzzy quantifiers as modal operators. In International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems (IPMU'92), Palma de Mallorca, Spain (pp. 663-668). New York, NY: IEEE Press.

 

   Chung, H. T., & Schwartz, D. G. (1991). Design of an inference engine for reasoning with imprecise information. In Florida AI Research Symposium, FLAIRS'91, Cocoa Beach, FL (pp. 22-26). St. Petersburg, FL: Florida AI Research Symposium.

 

   Schwartz, D. G. (1991). Qualitative representations of fuzzy likelihood. In World Congress on Expert Systems, Orlando, Florida (pp. 124-131). New York, NY: Pergamon.

 

   Schwartz, D. G. (1991). Two interpretations of fuzzy likelihood. In Japan Society for Fuzzy Theory and Systems (SOFT'91), Nagoya, Japan (pp. 221-224). New York, NY: IEEE Press.

 

   Schwartz, D. G. (1990). A prototype expert system shell for reasoning with imprecise information - a progress report. In North American Fuzzy Information Processing Society, NAFIPS'90, Toronto, Ontario, Canada (pp. 269-272). New York, NY: Elsevier Science Inc.

 

   Chung, H. T., & Schwartz, D. G. (1990). LR/1: a Prolog-like system for reasoning with imprecise linguistic information. In Florida Artificial Intelligence Research Symposium, FLAIRS'90, Cocoa Beach, FL (pp. 145-148). St. Petersburg, FL: Florida AI Research Symposium.

 

   Schwartz, D. G. (1990). On the relation between fuzzy quantification, usuality, and linguistic likelihood. In International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems (IPMU'90), Paris, France (pp. 263-265). New York, NY: Springer-Verlag.

 

   Schwartz, D. G. (1989). A new approach to representing imprecise linguistic inferences. In Florida Arti_cial Intelligence Research Symposium, FLAIRS'89, Orlando, FL (pp. 238-240). St. Petersburg, FL: Florida AI Research Symposium.

 

   Lamm, J., & Schwartz, D. G. (1989). A strategy for representing subjective rules. In Florida Artificial Intelligence Research Symposium, FLAIRS'89, Orlando, FL (pp. 258). St. Petersburg, FL: Florida AI Research Symposium.

 

   Kirmse, A., & Schwartz, D. G. (1989). A_first-order logic of chronological ignorance. In Florida Artificial Intelligence Research Symposium, FLAIRS'89, Orlando, FL (pp. 128-132). St. Petersburg, FL: Florida AI Research Symposium.

 

   Tamir, D. E., Schwartz, D. G., & Kandel, A. (1989). An expert system for computer aided design utilizing a pattern recognition interpretation of implications. In Florida Artificial Intelligence Research Symposium, FLAIRS'89, Orlando, FL (pp. 86-90). St. Petersburg, FL: Florida AI Research Symposium.

 

   Schwartz, D. G. (1989). Outline of a naive semantics for reasoning with qualitative linguistic information. In Eleventh International Joint Conference on Artificial Intelligence (IJCAI'89), Detroit, MI (pp. 1068-1073). Burlington, MA: Morgan Kaufmann Publishers.

 

   Schwartz, D. G. (1988). A computationally simple interpretation of linguistic decision rules. In North American Fuzzy Information Processing Society, NAFIPS'88, San Francisco, CA (pp. 216-220). New York, NY: Elsevier Science Inc.

 

   Lee, M. J., & Schwartz, D. G. (1988). A scheme for logical inference with linguistic attributes. In Florida Arti_cial Intelligence Research Symposium, FLAIRS'88, Orlando, FL (pp. 208-212). St. Petersburg, FL: Florida AI Research Symposium.

 

   Schwartz, D. G. (1988). An alternative semantics for linguistic variables. In International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems (IPMU'88), Urbino, Italy (pp. 87-92). New York, NY: Springer-Verlag.

 

   Schneider, M., Schwartz, D. G., & Kandel, A. (1988). Fuzzy expert systems for pattern recognition. In North American Fuzzy Information Processing Society (pp. 206-210). New York, NY: Elsevier Science Inc.

 

   Schwartz, D. G. (1987). A model of expert decision making with fuzzy criteria. In Second Congress of the International Fuzzy Systems Association (IFSA-87), Tokyo, Japan (pp. 622-624). New York, NY: IEEE Press.

 

   Schwartz, D. G. (1987). An axiomatic approach to fuzzy inference. In International Symposium on Fuzzy Systems and Knowledge Engineering, Guangzhou-Guiyang, China (pp. 69-77). New York, NY: Springer.

 

   Schwartz, D. G. (1986). Concerning some axioms for a fragment of approximate reasoning. In Recent Developments in the Theory and Applications of Fuzzy Sets, Proceedings of the North American Fuzzy Information Processing Society, NAFIPS'86, New Orleans, LA (pp. 516-523). New York, NY: Elsevier Science Inc.

 

   Schwartz, D. G. (1985). A restriction of fuzzy logic to crisp intervals. In North American Fuzzy Information Processing Society Workshop on Fuzzy Expert Systems and Decision Support, NAFIPS'85, Georgia State University, Atlanta, GA (pp. 1). New York, NY: IEEE Press.

 

   Schwartz, D. G. (1985). One cornerstone in the mathematical foundations for a system of fuzzy-logic programming. In The Second Conference on Arti_cial Intelligence Applications: The Engineering of Knowledge-Based Systems, Miami Beach, FL (pp. 618-620). New York, NY: IEEE Press.

 

  Schwartz, D. G. (1983). Remarks on the scientific use of nonclassical modes of reasoning. In The Relation between Major World Problems and Systems Learning, Proceedings of the Twenty-Sixth Annual Meeting of the Society for General Systems Research, Detroit, Michigan (pp. 205-210). Pocklington, York , United Kingdom: Society for General Systems Research.

 

  Schwartz, D. G. (1981). Forecasting in a fuzzy environment. In General Systems Research and Design: Precursors and Futures, Proceedings of the Twenty-Fifth Annual Meeting of the Society for General Systems Research, Toronto, Canada (pp. 20-26). Pocklington, York , United Kingdom: Society for General Systems Research.

 

 

Reviews

 

   Schwartz, D. G. (1996). The alternative mathematical model of linguistic semantics and pragmatics, by Vil_ém Nov_ák, IFSR International Series on Systems Science and Engineering, Vol. 8, Plenum Press, New York and London, 1992. XIII + 204 pages. International Journal of General Systems, 25(2), 174-176.

 

   Schwartz, D. G. (1986). A general system logical theory, by G. Resconi and M. Jessel. International Journal of General Systems, 12, 159-182.

 

Computing Reviews: Review Journal of the Association for Computing Machinery, Entry 8802-0102, Vol. 29, No. 2, Feb. 1988, p. 110.

 

 

Reports

 

   Schwartz, D. G. (1992). Japanese Advances in Fuzzy Systems and Case-Based Reasoning (NAVSO P-3580, Vol. 17, No. 1, pp. 65-79). Arlington, VA: Scientific Information Bulletin, Office of Naval Research Asian Office.

 

   Kahaner, D. K., & Schwartz, D. G. (1991). Fuzzy helicopter flight control (NAVSO P-3580, Vol. 16., No. 4., pp. 13-15). Arlington, VA: Scientific Information Bulletin, Office of Naval Research Asian Office.

 

 

Presentations at Conferences

 

 

   Schwartz, D. G. (presented 2015, June). Panel Discussion on Context. Presentation at The 34th Annual Conference of NAFIPS (North American Fuzzy Information Processing Society) and the 5th World Conference on Soft Computing, North American Fuzzy Information Processing Society, Redmond, Washington. (International)

 

 

Workshops

 

 

   Schwartz, D. (2017, January). Mine Countermeasures Working Group. Workshop delivered at Office of Naval Research, Sandestin, Florida. (National)

 

 

   Schwartz, D. G. (2009, June). A Florida State Emergency Management Command and Control Center (EMC3): A Research and Development Proposal. Workshop delivered at FSU-ORNL collaboration meeting, Oak Ridge National Labs. (National)

 

   Schwartz, D. G., Stoecklin, S., & Long, J. (2005, June). Adaptive Architectures for Intrusion Detection, Annual Army Research Laboratory review of the MURI project, "Modeling and simulation environments for critical infrastructure protection,". Workshop delivered at University of Central Florida, Orlando, FL. (State)

 

   Schwartz, D. G., Long, J., & Patel, M. (2004, May). Case-Based Reasoning and Data Mining: Applications to Network Intrusion Detection, Annual Army Research Laboratory review of the MURI project, "Modeling and simulation environments for critical infrastructure protection". Workshop delivered at University of Central Florida, Orlando, FL. (State)

 

   Schwartz, D. G., & Stoecklin, S. (2003, October). A Case-Based Reasoning Framework Using Adaptive Software Architectures. Workshop delivered at Technology transfer presentation at the Army Research Laboratory, Adelphi, MD. (National)

 

   Schwartz, D. G., & Stoecklin, S. (2003, May). Adaptive Case-Based Security Framework for CIP, Annual Army Research Laboratory review of the MURI project, "Modeling and simulation environments for critical infrastructure protection". Workshop delivered at University of Wisconsin, Madison, WI. (State)

 

   Schwartz, D. G. (2003, February). Overview of work by Stoecklin and Schwartz on the ARO MURI project for a Workshop on Critical Infrastructure Protection. Workshop delivered at FSU Computer Science Department's Security and Assurance in Information Technology Laboratory, Tallahassee, FL. (State)

 

   Schwartz, D. G., Stoecklin, S., & Guha, R. (2003, January). Case-based agents for intrusion detection in ad hoc wireless networks, Integration Workshop for participants in ARO MURI project "Modeling and simulation environments for critical infrastructure protection". Workshop delivered at University of Central Florida, Orlando, FL. (State)

 

   Schwartz, D. G. (2002, October). Overview of work by Stoecklin and Schwartz on the ARO MURI project for a meeting with representatives from the Florida Department of Law Enforforcement regarding creation of new Cybersecurity Institute. Workshop delivered at Florida State University, Department of Computer Science, Tallahassee, FL. (State)

 

   Schwartz, D. G. (2002, September). Adaptive case-based reasoning architectures for network intrusion detection. Workshop delivered at Technology Exchange meeting with US Army Information Assurance Group, Aberdeen Proving Ground. (National)

 

   Schwartz, D. G. (2002, September). Adaptive case-based reasoning, Technology Exchange meeting with members of the US Army Information Assurance group from Aberdeen Proving Ground and other members of the ARO MURI Project "Modeling and simulation environments for critical infrastructure protection". Workshop delivered at University of Wisconsin, Madison, WI. (State)

 

   Schwartz, D. G., & Stoecklin, S. (2002, May). Adaptive case-based reasoning architectures for critical infrastructure protection, ARO MURI review of project "Modeling and simulation environments for critical infrastructure protection". Workshop delivered at George Washington University, Washington, DC. (State)

 

   Schwartz, D. G., & Stoecklin, S. (2002, January). Case-based reasoning for critical infrastructure protection, Integration Workshop for participants in ARO MURI project "Modeling and simulation environments for critical infrastructure protection". Workshop delivered at University of Central Florida, Orlando, FL. (State)