David G. Schwartz – författare

Urban gambling, linked to poverty, crime and corruption, was once considered a blight on US cities. Gambling then followed the exodus of Americans into the suburbs after World War II and now, at the beginning of the 21st century, most Americans live within a four-hour drive of a casino. What explains the success of places like Las Vegas? The self-contained casino resort removes gambling and its social problems from cities and provides Americans with the comfort of gambling in a setting matched to their suburban lifestyle. In a detailed look at the growth of the earliest casino resorts to the "pleasure palaces" and riverboat casinos of today, "Suburban Xanadu" locates the rise of the casino resort in suburbanization and the significance of this development for today.

Urban gambling, linked to poverty, crime and corruption, was once considered a blight on US cities. Gambling then followed the exodus of Americans into the suburbs after World War II and now, at the beginning of the 21st century, most Americans live within a four-hour drive of a casino. What explains the success of places like Las Vegas? The self-contained casino resort removes gambling and its social problems from cities and provides Americans with the comfort of gambling in a setting matched to their suburban lifestyle. In a detailed look at the growth of the earliest casino resorts to the "pleasure palaces" and riverboat casinos of today, "Suburban Xanadu" locates the rise of the casino resort in suburbanization and the significance of this development for today.

Cooperating Heterogeneous Systems provides an in-depth introduction to the issues and techniques surrounding the integration and control of diverse and independent software components. Organizations increasingly rely upon diverse computer systems to perform a variety of knowledge-based tasks. This presents technical issues of interoperability and integration, as well as philosophical issues of how cooperation and interaction between computational entities is to be realized. Cooperating systems are systems that work together towards a common end. The concepts of cooperation must be realized in technically sound system architectures, having a uniform meta-layer between knowledge sources and the rest of the system. The layer consists of a family of interpreters, one for each knowledge source, and meta-knowledge. A system architecture to integrate and control diverse knowledge sources is presented. The architecture is based on the meta-level properties of the logic programming language Prolog. An implementation of the architecture is described, a Framework for Logic Programming Systems with Distributed Execution (FLiPSiDE). Knowledge-based systems play an important role in any up-to-date arsenal of decision support tools. The tremendous growth of computer communications infrastructure has made distributed computing a viable option, and often a necessity in geographically distributed organizations. It has become clear that to take knowledge-based systems to their next useful level, it is necessary to get independent knowledge-based systems to work together, much as we put together ad hoc work groups in our organizations to tackle complex problems. The book is for scientists and software engineers who have experience in knowledge-based systems and/or logic programming and seek a hands-on introduction to cooperating systems. Researchers investigating autonomous agents, distributed computation, and cooperating systems will find fresh ideas and new perspectives on well-established approaches to control, organization, and cooperation.

Urban gambling, linked to poverty, crime and corruption, was once considered a blight on US cities. Gambling then followed the exodus of Americans into the suburbs after World War II and now, at the beginning of the 21st century, most Americans live within a four-hour drive of a casino. What explains the success of places like Las Vegas? The self-c

Urban gambling, linked to poverty, crime and corruption, was once considered a blight on US cities. Gambling then followed the exodus of Americans into the suburbs after World War II and now, at the beginning of the 21st century, most Americans live within a four-hour drive of a casino. What explains the success of places like Las Vegas? The self-c

Cooperating Heterogeneous Systems provides an in-depth introduction to the issues and techniques surrounding the integration and control of diverse and independent software components. Organizations increasingly rely upon diverse computer systems to perform a variety of knowledge-based tasks. This presents technical issues of interoperability and integration, as well as philosophical issues of how cooperation and interaction between computational entities is to be realized. Cooperating systems are systems that work together towards a common end. The concepts of cooperation must be realized in technically sound system architectures, having a uniform meta-layer between knowledge sources and the rest of the system. The layer consists of a family of interpreters, one for each knowledge source, and meta-knowledge. A system architecture to integrate and control diverse knowledge sources is presented. The architecture is based on the meta-level properties of the logic programming language Prolog. An implementation of the architecture is described, a Framework for Logic Programming Systems with Distributed Execution (FLiPSiDE). Knowledge-based systems play an important role in any up-to-date arsenal of decision support tools. The tremendous growth of computer communications infrastructure has made distributed computing a viable option, and often a necessity in geographically distributed organizations. It has become clear that to take knowledge-based systems to their next useful level, it is necessary to get independent knowledge-based systems to work together, much as we put together ad hoc work groups in our organizations to tackle complex problems. The book is for scientists and software engineers who have experience in knowledge-based systems and/or logic programming and seek a hands-on introduction to cooperating systems. Researchers investigating autonomous agents, distributed computation, and cooperating systems will find fresh ideas and new perspectives on well-established approaches to control, organization, and cooperation.

Cooperating Heterogeneous Systems provides an in-depth introduction to the issues and techniques surrounding the integration and control of diverse and independent software components. Organizations increasingly rely upon diverse computer systems to perform a variety of knowledge-based tasks. This presents technical issues of interoperability and integration, as well as philosophical issues of how cooperation and interaction between computational entities is to be realized. Cooperating systems are systems that work together towards a common end. The concepts of cooperation must be realized in technically sound system architectures, having a uniform meta-layer between knowledge sources and the rest of the system. The layer consists of a family of interpreters, one for each knowledge source, and meta-knowledge. A system architecture to integrate and control diverse knowledge sources is presented. The architecture is based on the meta-level properties of the logic programming language Prolog. An implementation of the architecture is described, a Framework for Logic Programming Systems with Distributed Execution (FLiPSiDE). Knowledge-based systems play an important role in any up-to-date arsenal of decision support tools. The tremendous growth of computer communications infrastructure has made distributed computing a viable option, and often a necessity in geographically distributed organizations. It has become clear that to take knowledge-based systems to their next useful level, it is necessary to get independent knowledge-based systems to work together, much as we put together ad hoc work groups in our organizations to tackle complex problems. The book is for scientists and software engineers who have experience in knowledge-based systems and/or logic programming and seek a hands-on introduction to cooperating systems. Researchers investigating autonomous agents, distributed computation, and cooperating systems will find fresh ideas and new perspectives on well-established approaches to control, organization, and cooperation.

Gambling, the risky enterprise of chance, is one of America’s favorite pastimes. Office March Madness brackets, a day at the race track, a friendly wager, the random ridiculous Super Bowl prop bet, bingo night, or the latest media frenzy over the Powerball jackpot—all emphasize the ubiquity of this major economic force and cultural phenomenon. Approximately 70 percent of Americans regularly engage in some form of betting, amounting to over $140 billion in combined casino and lottery revenue every year. A hundred years ago, however, legal gambling was a rarity in the United States.  A fresh take on the history of modern American gambling, All In provides a closer look at the shifting economic, cultural, religious, and political conditions that facilitated gambling’s expansion and prominence in American consumerism and popular culture. In its pages a diverse range of essays covering commercial and Native American casinos, sports betting, lotteries, bingo, and more piece together a picture of how gambling became so widespread over the course of the twentieth century.Drawing from a range of academic disciplines, this collection explores five aspects of American gambling history: crime, advertising, politics, religion, and identity.In doing so, All In illuminates the on-the-ground debates over gambling’s expansion, the failed attempts to thwart legalized betting, and the consequences of its present ubiquity in the United States.