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Case-Based Reasoning
Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past cases in order to reuse their solution for the problem at hand. Once the problem has been solved, learning methods can be applied to improve the knowledge based on past experiences. In spite of being a broad methodology applied in industry and services, case-based reasoning has often been forgotten in both artificial intelligence and machine learning books. The aim of this book is to present a concise introduction to case-based reasoning providing the essential building blocks for the design of case-based reasoning systems, as well as to bring together the main research lines in this field to encourage students to solve current CBR challenges.
Bastards and Believers
A formidable collection of studies on religious conversion and converts in Jewish history Theodor Dunkelgrün and Pawel Maciejko observe that the term "conversion" is profoundly polysemous. It can refer to Jews who turn to religions other than Judaism and non-Jews who tie their fates to that of Jewish people. It can be used to talk about Christians becoming Muslim (or vice versa), Christians "born again," or premodern efforts to Christianize (or Islamize) indigenous populations of Asia, Africa, and the Americas. It can even describe how modern, secular people discover spiritual creeds and join religious communities. Viewing Jewish history from the perspective of conversion across a broad chr...
Case-Based Reasoning
Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past cases in order to reuse their solution for the problem at hand. Once the problem has been solved, learning methods can be applied to improve the knowledge based on past experiences. In spite of being a broad methodology applied in industry and services, case-based reasoning has often been forgotten in both artificial intelligence and machine learning books. The aim of this book is to present a concise introduction to case-based reasoning providing the essential building blocks for the design of case-based reasoning systems, as well as to bring together the main research lines in this field to encourage students to solve current CBR challenges.
A World of Its Own
Tracing the history of intercultural struggle and cooperation in the citrus belt of Greater Los Angeles, Matt Garcia explores the social and cultural forces that helped make the city the expansive and diverse metropolis that it is today. As the citrus-
Artificial Intelligence Research and Development
Artificial Intelligence (AI) has started the evolution in computer science. It is in good health, as many companies qualify their novelties as ‘smart’ or ‘intelligent’. The term ‘society of knowledge’ draws society nearer to the future and is a symbol of breakthrough. From this perspective, AI has reached maturity and has exploded into an endless set of sub-areas, getting in touch with all other disciplines, such as situation assessment, analysis and interpretation of music, management of environmental and biological systems, planning trains, routing of communication networks, assisting medical diagnosis or powering auctions. The wide variety of Artificial Intelligence applicatio...
Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection
This book constitutes the proceedings of the 17th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2019, held in Ávila, Spain, in June 2019. The 19 regular and 14 demo papers presented in this volume were carefully reviewed and selected from 55 submissions. They deal with the application and validation of agent-based models, methods, and technologies in a number of key applications areas, including: Agronomy and Internet of Things, coordination and structure, finance and energy, function and autonomy, humans and societies, reasoning and optimization, traffic and routing.
Official Gazette
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Promiscuous Power
Honorable Mention, Bandelier/Lavrin Book Award in Colonial Latin America, Rocky Mountain Council on Latin American Studies (RMCLAS), 2019 Honorable Mention, The Alfred B. Thomas Book Award, Southeastern Council of Latin American Studies (SECOLAS), 2019 Scholars have written reams on the conquest of Mexico, from the grand designs of kings, viceroys, conquistadors, and inquisitors to the myriad ways that indigenous peoples contested imperial authority. But the actual work of establishing the Spanish empire in Mexico fell to a host of local agents—magistrates, bureaucrats, parish priests, ranchers, miners, sugar producers, and many others—who knew little and cared less about the goals of th...
