Agent 146

The spellbinding autobiography of one of the only Nazi spies to reach American soil. September 1944. Germany is burning at both ends and the Reich is crumbling. Word has drifted back to Berlin that the Americans are testing a secret weapon of unbelievable destruction. A weapon that will win the war. The Fuhrer himself calls upon Agent 146 in a last ditch effort to sabotage America's atomic program. Two months later, a German U-boat surfaces off the coast of Maine. Agent 146 and an American turncoat named William Collepaugh sneak ashore. Down the coast they go, ending up in New York. Once there, a fascinating game of cat and mouse begins as the FBI attempts to close in on the elusive Nazi spy. Never before published in the U. S., Agent 146 is an intriguing tale of espionage under the Reich. Within these pages are fascinating accounts of the Nazis' plans to sabotage the Allies--from sending in commandos to capture Gibraltar to blowing up the Panama Canal. Agent 146 is a must read memoir for any World War II history buff.

Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems. This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.

Includes the decisions of the Supreme Courts of Missouri, Arkansas, Tennessee, and Texas, and Court of Appeals of Kentucky; Aug./Dec. 1886-May/Aug. 1892, Court of Appeals of Texas; Aug. 1892/Feb. 1893-Jan./Feb. 1928, Courts of Civil and Criminal Appeals of Texas; Apr./June 1896-Aug./Nov. 1907, Court of Appeals of Indian Territory; May/June 1927-Jan./Feb. 1928, Courts of Appeals of Missouri and Commission of Appeals of Texas.

Includes the decisions of the Supreme Courts of Massachusetts, Ohio, Indiana, and Illinois, and Court of Appeals of New York; May/July 1891-Mar./Apr. 1936, Appellate Court of Indiana; Dec. 1926/Feb. 1927-Mar./Apr. 1936, Courts of Appeals of Ohio.