1. Addelman, S.: Orthogonal Main-Effect Plans for Asymmetrical Factorial Experiments. In: Technometrics 4(1962)1, pp. 21–46.
2. Becker, M.; Czap, H.; Poppensieker, M.; Stotz, A.: Estimating Utility-Functions for Negotiating Agents: Using Conjoint Analysis as an Alternative Approach to Expected Utility Measurement. In: Eymann, T.; Klügl, F.; Lamersdorf, W.; Klusch, M.; Huhns, M. N. (Eds.): Multiagent System Technologies 2005. Springer Lecture Notes on Artificial Intelligence (LNAI), vol. 3550. Berlin et al., 2005, pp. 94–105.
3. Becker, M.; Heine, C.; Herrler, R.; Krempels, K.-H.: a) Ont-HoS — an Ontology for Hospital Scenarios. In: Moreno, A; Nealon, J. (Eds.): Applications of Software Agent Technology in the Health Care Domain. Whitestein Series in Software Agent Technologies (WSSAT). Basel, 2003, pp. 87–103.
4. Becker, M.; Krempels, K.-H.; Navarro, M.; Panchenko, A.: Agent Based Scheduling of Operation Theaters. In: Rudomin, I; Vazquez-Salceda, J.; de Leon Santiago, JLD (Eds.): e-Health: Application of Computing Science in Medicine and Health Care. Mexico-City, 2003, pp. 220–227.
5. Czap, H.; Becker, M.: Multi-Agent Systems and Microeconomic Theory: A Negotiation Approach to Solve Scheduling Problems in High Dynamic Environments. In: Proceedings of 36th Annual Hawaii International Conference on System Sciences (CD-Rom). Hawaii, 2003.