The following papers present combinations of different reasoning methods, including database technology, rules, analogical reasoning, deep causal reasoning, genetic algorithms, neural nets, with CBR.

Allen, J.R.C., Patterson, D., Mulvenna, M.D., & Hughes, J.G. (1995). Integration of case based retrieval with a relational database system in aircraft technical support. In, Case-Based Reasoning Research and Development, Veloso, M., & Aamodt, A. (Eds.), Lecture Notes in Artificial Intelligence 1010, Springer-Verlag, Berlin.

Auriol, E., Wess, S., Manago, M., Althoff, K.-D., & Traphoner, R. (1995). INRECA: A seamlessly integrated system based on inductive inference and case-based reasoning. In, Case-Based Reasoning Research and Development, Veloso, M., & Aamodt, A. (Eds.), Lecture Notes in Artificial Intelligence 1010, Springer-Verlag, Berlin.

Avesani, P., Perini, A. & Ricci, F. (1993). Combining CBR and Constraint Reasoning in Planning Forest Fire Fighting. In, Proceedings of EWCBR'93. Richter, M.M., et al. (Eds.), Springer-Verlag.

Bartsch-Sporl, B. (1995). Towards the integration of case-based, schema-based and model-based reasoning for supporting complex design tasks. In, Case-Based Reasoning Research and Development, Veloso, M., & Aamodt, A. (Eds.), Lecture Notes in Artificial Intelligence 1010, Springer-Verlag, Berlin.

Bichindaritz, I. (1995). Incremental Concept Learning and Case-Based Reasoning: For a Co-operative Approach. In, Progress In Case-Based Reasoning, Watson, I. (Ed.). Lecture Notes in Artificial Intelligence 1020, Springer-Verlag.

Bradburn, C., Zelznikow, J., & Adams, A. (1993). Florence: Synthesis of case-based and model-based reasoning in nursing care planning system. Computers in nursing, 11(1), pp.20-24.

Branting, L.K., (1988). Exploiting the Complementarity of Rules and Precedents with reciprocity and Fairness. In, Proceedings of the DARPA Case-Based Reasoning Workshop, Kolodner, J.L. (Ed.), Morgan Kaufmann, Calif., US.

Brown, M., Watson, I., & Filer, N. (1995). Separating the cases from the data: Towards more flexible case-based reasoning. In, Case-Based Reasoning Research and Development, Veloso, M., & Aamodt, A. (Eds.), Lecture Notes in Artificial Intelligence 1010, Springer-Verlag, Berlin.

Cunningham, P., & Slattery, S. (1993). Modelling of Engineering Thermal Problems - An implementation using CBR with Derivational Analogy. In, Proceedings of EWCBR'93. Richter, M.M., et al. (Eds.), Springer-Verlag.

Grolimund, S., & Ganascia, J.-G. (1995). Integrating case-based reasoning and tabu search for solving optimisation problems. In, Case-Based Reasoning Research and Development, Veloso, M., & Aamodt, A. (Eds.), Lecture Notes in Artificial Intelligence 1010, Springer-Verlag, Berlin.

Huang, Y. (1996). An Evolutionary Agent Model of Case-Based Classification. In, Advances in Case-Based Reasoning, Smith, I., & Faltings, B. (Eds.), Lecture Notes in Artificial Intelligence 1168, Springer-Verlag, Berlin.

Hunt, J. (1995). Evolutionary Case Based Design. In, Progress In Case-Based Reasoning, Watson, I. (Ed.). Lecture Notes in Artificial Intelligence 1020, Springer-Verlag.

Indurkhya, N., & Weiss, S.M. (1995). Using case data to improve on rule-based function approximation. In, Case-Based Reasoning Research and Development, Veloso, M., & Aamodt, A. (Eds.), Lecture Notes in Artificial Intelligence 1010, Springer-Verlag, Berlin.

Karamouzis, T., & Feyock, S. (1992). An Integration of case-based and model-based reasoning and its application to physical system faults. In, Lecture Notes in Computer Science 604, pp.100-108. Springer-Verlag.

Lenz, M. (1993). CABAT - A hybrid CBR system. In, Proceedings of EWCBR'93. Richter, M.M., et al. (Eds.), Springer-Verlag.

Liu, B., et al. (1994). Integrating case-based reasoning, knowledge-based approach and Dijkstra algorithm for route finding. In, Proceedings of the Conference on Artificial Intelligence Applications, pp.149-155.

Maher, M.L. (1994). Creative design using a genetic algorithm. ASCE, pp.2014-2021.

Munoz-Avila, H., & Huellen, J. (1995) Retrieving cases in structured domains by using goal dependencies. In, Case-Based Reasoning Research and Development, Veloso, M., & Aamodt, A. (Eds.), Lecture Notes in Artificial Intelligence 1010, Springer-Verlag, Berlin.

Musgrove, P.B., Davies, J. & Izzard, D. (1996). A Comparison of Nearest Neighbour, Rule Induction and Neural Networks for the Recommendation of Treatment at Anticoagulant Out-Patient Clinics. In, Proceedings of the 2^nd UK Workshop on Case-Based Reasoning. Watson, I. (Ed.), Salford University, Salford, UK.

Nakhaeizadeh, G. (1993). Learning Prediction of Time Series. A Theoretical and Empirical comparison of CBR with some other approaches. In, Proceedings of EWCBR'93. Richter, M.M., et al. (Eds.), Springer-Verlag.

Pal, K., & Campbell, J.A. (1996). A Technique for Generating Partial Advice from a Rule Base or Hybrid Knowledge Base. In, Research & Development in Expert Systems XIII. Nealon, J.L., & Hunt, J. (Eds.), SGES Publications, UK.

Pal, K., & Campbell, J.A. (1996). Suitability of Reasoning Methods in a Hybrid System. In, Proceedings of the 2^nd UK Workshop on Case-Based Reasoning. Watson, I. (Ed.), Salford University, Salford, UK.

Portinale, L., & Torasso, P. (1995). ADAPtER: An integrated diagnostic system combining case-based and abductive reasoning. In, Case-Based Reasoning Research and Development, Veloso, M., & Aamodt, A. (Eds.), Lecture Notes in Artificial Intelligence 1010, Springer-Verlag, Berlin.

Purvis, L., & Pu, P. (1995). Adaptation using constraint satisfaction techniques. In, Case-Based Reasoning Research and Development, Veloso, M., & Aamodt, A. (Eds.), Lecture Notes in Artificial Intelligence 1010, Springer-Verlag, Berlin.

Ram, A., & Francis, A.G. (1996). Multi-plan Retrieval and Adaptation in an Experience-Based Agent. In, Case-Based Reasoning: Experiences, Lessons, & Future Directions, Leake, D.B. (Ed.). AAAI Press / The MIT Press, Menlo Park, Calif., US.

Reategui, E., Campbell, J.A., & Borghetti, S. (1995). Using a neural network to learn general knowledge in a case-based system. In, Case-Based Reasoning Research and Development, Veloso, M., & Aamodt, A. (Eds.), Lecture Notes in Artificial Intelligence 1010, Springer-Verlag, Berlin.

Rissland, E.L., Basu, C., Daniels, J.J., McCarthy, J., Rubinstein, B., & Skalak, D.B. (1991). A Blackboard-Based Architecture for CBR: An Initial Report. In, Proceedings of the DARPA Case-Based Reasoning Workshop, Bareiss, E.R. (Ed.), Morgan Kaufmann, Calif., US.

Schmalhofer, F. & Thoben, J. (1992). The model-based construction of a case-oriented expert system. AI Communication 5(1), pp.3-18.

Skalak, D.B. (1989). Options for Controlling Mixed Paradigm Systems. In, Proceedings of the DARPA Case-Based Reasoning Workshop, Hammond, K.J. (Ed.), Morgan Kaufmann, Calif., US.

Surma, J., & Vanhoof, K. (1995). Integrating rules and cases for the classification task. In, Case-Based Reasoning Research and Development, Veloso, M., & Aamodt, A. (Eds.), Lecture Notes in Artificial Intelligence 1010, Springer-Verlag, Berlin.

Thrift, P. (1989). A Neural Network Model for Case-Based Reasoning. In, Proceedings of the DARPA Case-Based Reasoning Workshop, Hammond, K.J. (Ed.), Morgan Kaufmann, Calif., US.

Weber-Lee, R., Barcia, R.M., & Khator, S.K. (1995). Case-based reasoning for cash flow forecasting using fuzzy retrieval. In, Case-Based Reasoning Research and Development, Veloso, M., & Aamodt, A. (Eds.), Lecture Notes in Artificial Intelligence 1010, Springer-Verlag, Berlin.

CBR and analogous reasoning share similarities. CBR can be defined as intra-domain reasoning, whereas analogous reasoning is inter-domain. The following papers discuss this subject.

Brooks, L., Allen, S., & Norman. (1989). The Multiple and Variable Availability of Familiar Cases. In, Proceedings of the DARPA Case-Based Reasoning Workshop, Hammond, K.J. (Ed.), Morgan Kaufmann, Calif., US.

Burstein, M. (1989). Analogy vs. CBR: The Purpose of Mapping. In, Proceedings of the DARPA Case-Based Reasoning Workshop, Hammond, K.J. (Ed.), Morgan Kaufmann, Calif., US.

Eskridge, T.C. (1989). Continuous Analogical Reasoning: Summary of Current Research. In, Proceedings of the DARPA Case-Based Reasoning Workshop, Hammond, K.J. (Ed.), Morgan Kaufmann, Calif., US.

Gentner, D. (1989). Finding the Needle: Accessing and Reasoning from Prior Cases. In, Proceedings of the DARPA Case-Based Reasoning Workshop, Hammond, K.J. (Ed.), Morgan Kaufmann, Calif., US.

Haigh, K.Z., & Veloso, M. (1995). Route Planning by Analogy. In, Case-Based Reasoning Research and Development, Veloso, M., & Aamodt, A. (Eds.), Lecture Notes in Artificial Intelligence 1010, Springer-Verlag, Berlin.

Liang, T.-P. (1993). Analogical reasoning and case-based learning in model management systems. Decision Support Systems, 10, pp.137-160.

Ross, B. (1989). Some Psychological Results on Case-based Reasoning. In, Proceedings of the DARPA Case-Based Reasoning Workshop, Hammond, K.J. (Ed.), Morgan Kaufmann, Calif., US.

Seifert, C. (1989). Analogy and Case-Based Reasoning. In, Proceedings of the DARPA Case-Based Reasoning Workshop, Hammond, K.J. (Ed.), Morgan Kaufmann, Calif., US.

Seifert, C., & Hammond, K.J. (1989). Why There's No Analogical Transfer. In, Proceedings of the DARPA Case-Based Reasoning Workshop, Hammond, K.J. (Ed.), Morgan Kaufmann, Calif., US.

Shinn, H.S. (1988). Abstractional Analogy: A Model of Analogical Reasoning. In, Proceedings of the DARPA Case-Based Reasoning Workshop, Kolodner, J.L. (Ed.), Morgan Kaufmann, Calif., US.

Veloso, M.M., & Carbonell, J.G. (1989). Learning Analogies by Analogy - The Closed Loop of Memory Organization and Problem Solving. In, Proceedings of the DARPA Case-Based Reasoning Workshop, Hammond, K.J. (Ed.), Morgan Kaufmann, Calif., US.

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