Answer Set Programming (ASP) is a declarative problem solving approach, initially tailored to modeling problems in the area of Knowledge Representation and Reasoning (KRR). More recently, its attractive combination of a rich yet simple modeling language with high-performance solving capacities has sparked interest in many other areas even beyond KRR. This book presents a practical introduction to ASP, aiming at using ASP languages and systems for solving application problems. Starting from the essential formal foundations, it introduces ASP's solving technology, modeling language and methodology, while illustrating the overall solving process by practical examples. Table of Contents: List of Figures / List of Tables / Motivation / Introduction / Basic modeling / Grounding / Characterizations / Solving / Systems / Advanced modeling / Conclusions
Reasoning with incomplete information constitutes a major challenge for any intelligent system. In fact, we expect such systems not to become paralyzed by missing information but rather to arrive at plausible results by bridging the gaps in the information available. A versatile way of reasoning in the absence of information is to reason by default. This book aims at providing formal and practical means for automating reasoning with incomplete information by starting from the approach taken by the framework of default logic. For this endeavor, a bridge is spanned between formal semantics, over systems for default reasoning, to efficient implementation.
Relationships empower Special Operations Forces (SOF) to perform as a highly skilled and reliable cadre in collaboration with local partner forces to prevent and solve shared problem sets, often accomplishing more with less. Since 9/11, however, relationships between SOF and their partners have not always been properly built and maintained. The authors trace the causal effects of constraints, trainings, and incentives and their impact on the current North Atlantic Treaty Organization (NATO) SOF approach of building enduring relationships. Motivated by numerous deployments to Afghanistan, Iraq, and Syria, with recurring problem sets, we chose to conduct a struc-tured-focused comparison between U.S. and Danish SOF supporting Operation Inherent Resolve in Al Anbar, Iraq (2015-2018) and German SOF during the shift of the NATO-led International Security Assistance Force to Resolute Support mission in Afghanistan (2013-2015). The analysis of these cases finds that specific interactions of the studied factors not only cause variations in relationships between SOF and partner forces, but ultimately influence operations and objectives determining mission success or failure. With further testing of our analysis and recommendations, this research can help to identify inherently flexible and nested strategic options for SOF senior leaders, allowing them to deploy SOF elements efficiently during times of asymmetric, diffuse, and episodic conflicts. Gojowsky and Koegler have written a fascinating and important manuscript concerning the use and lessons-learned of SOF in recent asymmetrical conflicts. In doing so, the authors systematically assess modern SOF tactics, techniques, and procedures (TTP) and relationships between NATO SOF and their local partners. This is a must-read for those interested in the future of SOF as well as counter-insurgencies' future TTPs, constraints and incentives. Gojowsky and Koegler recommendations should be carefully considered by NATO and its member countries. Professor Thomas H. Johnson, Author of "Taliban Narratives: The Use and Power of Stories in the Afghanistan Conflict", Naval Postgraduate School, Monterey, California.
The diagnosis of myelodysplastic syndromes (MDS), a heterogeneous group of clonal hematopoietic disorders, is being made with increasing frequency over the past decade owing to increased recognition, improved understanding, and an aging population. This book, completely updated since the first edition, summarizes in a concise and focused way the current knowledge of all aspects of MDS. Clinical presentation, etiology, epidemiology, molecular biology, classification, and staging are all discussed. Clear guidance is provided on diagnosis and differential diagnosis, and treatment strategies are explained in detail, including administration of hematopoietic growth factors, biologically based treatment, hematopoietic stem cell transplantation, and supportive care. Additional chapter is devoted to MDS in children. This practically oriented book will be of value to a broad spectrum of students and practitioners in the field.
Answer Set Programming (ASP) is a declarative problem solving approach, initially tailored to modeling problems in the area of Knowledge Representation and Reasoning (KRR). More recently, its attractive combination of a rich yet simple modeling language with high-performance solving capacities has sparked interest in many other areas even beyond KRR. This book presents a practical introduction to ASP, aiming at using ASP languages and systems for solving application problems. Starting from the essential formal foundations, it introduces ASP's solving technology, modeling language and methodology, while illustrating the overall solving process by practical examples. Table of Contents: List of Figures / List of Tables / Motivation / Introduction / Basic modeling / Grounding / Characterizations / Solving / Systems / Advanced modeling / Conclusions
Reasoning with incomplete information constitutes a major challenge for any intelligent system. In fact, we expect such systems not to become paralyzed by missing information but rather to arrive at plausible results by bridging the gaps in the information available. A versatile way of reasoning in the absence of information is to reason by default. This book aims at providing formal and practical means for automating reasoning with incomplete information by starting from the approach taken by the framework of default logic. For this endeavor, a bridge is spanned between formal semantics, over systems for default reasoning, to efficient implementation.
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