Ergebnisse zur Befragung über Möglichkeiten und Grenzen von neuen Pflanzenzüchtungstechniken im Öko-Landbau

In this empirical study interviews with experts from different business like organic agriculture (OA) or plant breeding companies were conducted to analyze the possibilities and limits of new plant breeding techniques (NBT) for organic agriculture (OA). Furthermore, the consequences of banning the NBT in OA were investigated. The survey showed that these techniques offer beyond some limits also opportunities for OA. Before excluding these techniques a priori, it seems to be rational to decide case by case depending on the cultured traits if these techniques are suitable for OA

An Assortment of Evolutionary Computation Techniques (AECT) in gaming

© 2020, Springer-Verlag London Ltd., part of Springer Nature. Real-time strategy (RTS) games differ as they persist in varying scenarios and states. These games enable an integrated correspondence of non-player characters (NPCs) to appear as an autodidact in a dynamic environment, thereby resulting in a combined attack of NPCs on human-controlled character (HCC) with maximal damage. This research aims to empower NPCs with intelligent traits. Therefore, we instigate an assortment of ant colony optimization (ACO) with genetic algorithm (GA)-based approach to first-person shooter (FPS) game, i.e., Zombies Redemption (ZR). Eminent NPCs with best-fit genes are elected to spawn NPCs over generations and game levels as yielded by GA. Moreover, NPCs empower ACO to elect an optimal path with diverse incentives and less likelihood of getting shot. The proposed technique ZR is novel as it integrates ACO and GA in FPS games where NPC will use ACO to exploit and optimize its current strategy. GA will be used to share and explore strategy among NPCs. Moreover, it involves an elaboration of the mechanism of evolution through parameter utilization and updation over the generations. ZR is played by 450 players with varying levels having the evolving traits of NPCs and environmental constraints in order to accumulate experimental results. Results revealed improvement in NPCs performance as the game proceeds

Random Probes in Computation and Assessment of Approximate Reducts

We discuss applications of random probes in a process of computation and assessment of approximate reducts. By random probes we mean artificial attributes, generated independently from a decision vector but having similar value distributions to the attributes in the original data. We introduce a concept of a randomized reduct which is a reduct constructed solely from random probes and we show how to use it for unsupervised evaluation of attribute sets. We also propose a modification of the greedy heuristic for a computation of approximate reducts, which reduces a chance of including irrelevant attributes into a reduct. To support our claims we present results of experiments on high dimensional data. Analysis of obtained results confirms usefulness of random probes in a search for informative attribute sets.</p

Speech Driven by Artificial Larynx: Potential Advancement Using Synthetic Pitch Contours

Despite a long history of development, the speech qualities achieved with artificial larynx devices are limited. This paper explores recent advances in prosodic speech processing and technology and assesses their potentials in improving the quality of speech with an artificial larynx – in particular, tone and intonation through pitch variation. Three approaches are discussed: manual pitch control, automatic pitch control and re-synthesized speech