Ein Preußisches Programm in der deutschen Frage by R. H. L. v.d. Golts (auth.)

By R. H. L. v.d. Golts (auth.)

Show description

Read Online or Download Ein Preußisches Programm in der deutschen Frage PDF

Best german_7 books

Deutsche Forschung in der Antarktis: Wissenschaftlicher Fortschritt und Perspektiven

Content material: bankruptcy 1 Die globale Sonderstellung der Antarktis (pages 1–64): bankruptcy 2 Klimawandel (pages 65–99): bankruptcy three Energie- und Stoffkreisläufe (pages 101–122): bankruptcy four Physikalische und biologische Prozesse in polaren Systemen (pages 123–162): bankruptcy five Rahmenbedingungen für die deutsche Antarktisforschung (pages 163–199):

Additional info for Ein Preußisches Programm in der deutschen Frage

Example text

8. Results Plain, 1000 × 1000 cells All figures from Figure 4 to Figure 8 show, that the run time of the Multi-Agent Flood algorithm is a little bit slower than the Brick and Mortar algorithm. The diagrams depicting the results of the bigger test cases (Fig. 7 and 8) show, that this difference is smaller in the larger scenarios, especially in Fig. 7, where the MAF algorithm is faster than the BM algorithm. This is particularly interesting, as the movement routine of the MAF agents is still unoptimized and each agent will return to the base to report the location of the latest point of interest, that was found by said agent.

The security model presented here aims at open distributed systems, in which agents are used to realize some of the systems functionality. g. may be accessed using message-based interaction protocols. It is assumed that agent platforms represent the nodes in the network and each agent platform is under some administrative control. The focus is on security issues due to agent services being accessed from the outside (cf. Fig. 1). With regard to the usage of these services four common security objectives can be identified.

Enabling the exchange of data about already explored terrain and already uncovered paths back to the starting point. The “Return Mode” can also be optimized to yield shorter paths on the return to the base. References 1. : Dynamic Programming. Princeton University Press, Princeton (1972) 2. : The IUB Rugbot: an intelligent, rugged mobile robot for search and rescue operations. In: IEEE International Workshop on Safety, Security, and Rescue Robotics (SSRR). IEEE Press (2006) 3. : Ant colony system: A cooperative learning approach to the traveling salesman problem.

Download PDF sample

Rated 4.98 of 5 – based on 44 votes