New Computing Techniques in Physics Research IV

The term 'Artificial Intelligence' no longer means what it used to. The idea is still the same, i.e., the use of computing technology to perform tasks which only human beings could perform before. But today's scientists have gone beyond expert systems and computer algebra to new realms where complex problems are solved with tools like neural networks and fuzzy logic, genetic algorithms, object-oriented programming, and powerful symbolic manipulation techniques. High energy and nuclear physicists have been among the first to exploit these new tools to solve real-world problems. This volume groups together over 100 such applications which were presented at the AIHENP95 Workshop in Pisa, Italy in April 1995.

• Experience Using Formal Methods in High Energy Physics (A C Balke et al.)
• Integration of Symbolic Computing in Accelerator Control (M Arruat et al.)
• The Development of an Object-Oriented System which Integrates Simulation and Reconstruction within a Common Framework (P Fuchs)
• Calculation of Two-Loop Vertex Functions from Their Small Momentum Expansion (J Fleischer)
• Renormalization Group Symmetry and Sophus Lie Group Analysis (D Shirkov)
• The Calculation of Various Quantities within Perturbation Theory at the 3- and 4-Loop Order (T van Ritbergen et al.)
• Towards a Complete Feynman Diagrams Automatic Computation System (D Perret-Gallix)
• Artificial Neural Networks as a Level-2 Trigger for the H1 Experiment — Status of the Hardware Implementation (D Goldner et al.)
• Using an Analog Neural Network to Trigger on Tau Leptons at CDF (J S Conway & C Loomis)
• TOTEM: A Highly Parallel Chip for Triggering Applications with Inductive Learning Based on the Reactive Tabu Search (G Anzellotti et al.)
• A Programmable Active Memory Implementation of a Neural Network for Second Level Triggering in ATLAS (L Lundheim et al.)
• Results from a Neural Trigger Based on the MA16 Microprocessor (C Baldanza et al.)
• Application on a High Speed Analog Neural Network Chip in the First Level RZ-Trigger of the H1 Experiment at HERA (T T Tran et al.)
• Experience with the IBM ZISC306 Neural Network Chip (C S Lindsey et al.)
• and other papers