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Military operations planning involves concurrent actions, resource assignment, and conflicting costs. Individual tasks sometimes fail with a known probability, promoting a decision-theoretic approach. The planner must choose between multiple tasks that achieve similar outcomes but have different costs. The military domain is particularly suited to automated methods because hundreds of tasks, specified by many planning staff, need to be quickly and robustly coordinated. The authors are not aware of any previous planners that handle all characteristics of the operations planning domain in a single package. This paper shows that problems with such features can be successfully approached by real-time heuristic search algorithms, operating on a formulation of the problem as a Markov decision process. Novel automatically generated heuristics, and classic caching methods, allow problems of interesting sizes to be handled. Results are presented on data provided by the Australian Defence Science and Technology Organisation.

Military operations planning involves concurrent actions, resource assignment, and conflicting costs. Individual tasks sometimes fail with a known probability, promoting a decision-theoretic approach. The planner must choose between multiple tasks that achieve similar outcomes but have different costs. The military domain is particularly suited to automated methods because hundreds of tasks, specified by many planning staff, need to be quickly and robustly coordinated. The authors are not aware of any previous planners that handle all characteristics of the operations planning domain in a single package. This paper shows that problems with such features can be successfully approached by real-time heuristic search algorithms, operating on a formulation of the problem as a Markov decision process. Novel automatically generated heuristics, and classic caching methods, allow problems of interesting sizes to be handled. Results are presented on data provided by the Australian Defence Science and Technology Organisation.

In the wake of two extended wars, Western militaries find themselves looking to the future while confronting amorphous nonstate threats and shrinking defense budgets. The 2015 Kingston Conference on International Security (KCIS) examined how robotics and autonomous systems that enhance soldier effectiveness may offer attractive investment opportunities for developing a more efficient force capable of operating effectively in the future environment. This monograph offers 3 chapters derived from the KCIS and explores the drivers influencing strategic choices associated with these technologies and offers preliminary policy recommendations geared to advance a comprehensive technology investment strategy. In addition, the publication offers insight into the ethical challenges and potential positive moral implications of using robots on the modern battlefield. ; https://press.armywarcollege.edu/monographs/1398/thumbnail.jpg

Maps on lining-paper. ; On cover: Official history of the war. ; Bibliography: v. 1, p. xix-xx. ; v.1 August 1914-September 1916. ; Mode of access: Internet.

CONGRESSIONAL LIMITS ON MILITARY OPERATIONS ; CONGRESSIONAL LIMITS ON MILITARY OPERATIONS ; CONTENTS ; PREFACE ; Chapter 1 CONGRESSIONAL AUTHORITY TO LIMIT MILITARY OPERATIONS ; SUMMARY ; INTRODUCTION; I. CONSTITUTIONAL PROVISIONS; Congress's War Powers; The Commander-in-Chief Clause ; II. STATUTORY LIMITATIONS ON THE CONTINUED USE OF MILITARY FORCE ; Historical Practice ; Implications of the War Powers Resolution ; Rescinding Military Authorization Versus Cutting Appropriations: Procedural and Other Considerations.