2010/01/01 by Malik Ghallab, Ghallab, Malik
Computer Science · #AI-based Problem Solving and Planning #Computability, Logic, AI Algorithms #Evolutionary Algorithms and Applications #Machine Learning #Robotics
paper · doi:10.4230/dagsemproc.10081.11
openalex publication_date 2010/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Artificial systems are becoming more and more complex, almost as complex in some cases as natural systems. Up to now, the typical engineering question was "how do I design my system to behave according to some specifications". However, the incremental design process is leading to so complex artifacts that engineers are more and more addressing a quite different issue of "how do I model the observed behavior of my system". Engineers are faced with the same problem as scientists studying natural phenomena. It may sound strange for an engineer to engage in observing and modeling what a system is doing, since this should be inferable from the models used in the system's design stage. However, a modular design of a complex artifact develops only local models that are combined on the basis of some composition principle of these models; it seldom provides global behavior models.