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Foundations of Dependable Computing: Models and Frameworks for Dependable Systems
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems
Foundations of Dependable Computing: Models and Frameworks for Dependable Systems presents two comprehensive frameworks for reasoning about system dependability, thereby establishing a context for understanding the roles played by specific approaches presented in this book's two companion volumes. It then explores the range of models and...
Foundations of Dependable Computing: System Implementation
Foundations of Dependable Computing: System Implementation
Foundations of Dependable Computing: System Implementation, explores the system infrastructure needed to support the various paradigms of Paradigms for Dependable Applications. Approaches to implementing support mechanisms and to incorporating additional appropriate levels of fault detection and fault tolerance at the processor, network, and...
Stochastic Coalgebraic Logic (Monographs in Theoretical Computer Science. An EATCS Series)
Stochastic Coalgebraic Logic (Monographs in Theoretical Computer Science. An EATCS Series)

Coalgebraic logic is an important research topic in the areas of concurrency theory, semantics, transition systems and modal logics. It provides a general approach to modeling systems, allowing us to apply important results from coalgebras, universal algebra and category theory in novel ways. Stochastic systems provide important tools for...

Data Mining with Computational Intelligence (Advanced Information and Knowledge Processing)
Data Mining with Computational Intelligence (Advanced Information and Knowledge Processing)
Nowadays data accumulate at an alarming speed in various storage devices,
and so does valuable information. However, it is difficult to understand information
hidden in data without the aid of data analysis techniques, which
has provoked extensive interest in developing a field separate from machine
learning. This new field is
...
An Inductive Logic Programming Approach to Statistical Relational Learning
An Inductive Logic Programming Approach to Statistical Relational Learning
In this publication, the author Kristian Kersting has made an assault on one of the hardest integration problems at the heart of Artificial Intelligence research. This involves taking three disparate major areas of research and attempting a fusion among them. The three areas are: Logic Programming, Uncertainty Reasoning and Machine Learning. Every...
Logic Programming and Nonmonotonic Reasoning: 9th International Conference, LPNMR 2007, Tempe, AZ, USA, May 15-17, 2007
Logic Programming and Nonmonotonic Reasoning: 9th International Conference, LPNMR 2007, Tempe, AZ, USA, May 15-17, 2007
This book constitutes the refereed proceedings of the 9th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2007, held in Tempe, AZ, USA in May 2007.

The 18 revised full papers, 5 revised poster papers, and 7 system descriptions presented together with 2 invited papers were carefully reviewed and selected for...

Diagrammatic Reasoning in AI
Diagrammatic Reasoning in AI

This book is really the end product of over a decade of work, on and off, on diagrammatic reasoning in artificial intelligence (AI). In developing this book, I drew inspiration from a variety of sources: two experimental studies, the development of two prototype systems, an extensive literature review and analysis in AI,...

Design and Control of Workflow Processes: Business Process Management for the Service Industry (Lecture Notes in Computer Science)
Design and Control of Workflow Processes: Business Process Management for the Service Industry (Lecture Notes in Computer Science)

The motivation behind the conception of this monograph was to advance scientific knowledge about the design and control of workflow processes. A workflow pr- ess (or workflow for short) is a specific type of business process, a way of or- nizing work and resources. Workflows are commonly found within large admin- trative organizations such as...

Legal Knowledge and Information Systems:  JURIX 2006: The Nineteenth Annual Conference - Volume 152 Frontiers in Artificial Intelligence and Applications
Legal Knowledge and Information Systems: JURIX 2006: The Nineteenth Annual Conference - Volume 152 Frontiers in Artificial Intelligence and Applications
This volume contains the Proceedings of the Nineteenth JURIX Conference on Legal Knowledge and Information Systems (JURIX 2006), December 7th–9th, Université Pantheon Assas – Paris II, France. This year we hoped to put two new topics on the agenda: Artificial Intelligence in police and intelligence services and the impact of AI...
Automated Reasoning: 4th International Joint Conference, IJCAR 2008, Sydney, NSW, Australia, August 12-15, 2008, Proceedings
Automated Reasoning: 4th International Joint Conference, IJCAR 2008, Sydney, NSW, Australia, August 12-15, 2008, Proceedings
This book constitutes the refereed proceedings of the 4th International Joint Conference on Automated Reasoning, IJCAR 2008, held in Sydney, Australia, in August 2008. The 26 revised full research papers and 13 revised system descriptions presented together with 4 invited papers and a summary of the CASC-J4 systems competition were carefully...
Advances in Artificial Intelligence -- IBERAMIA 2004: 9th Ibero-American Conference on AI, Puebla, Mexico, November 22-26, 2004
Advances in Artificial Intelligence -- IBERAMIA 2004: 9th Ibero-American Conference on AI, Puebla, Mexico, November 22-26, 2004
This book constitutes the refereed proceedings of the 9th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2004, held in Puebla, Mexico in November 2004.

The 97 revised full papers presented were carefully reviewed and selected from 304 submissions. The papers are organized in topical sections on distributed AI and multi-agent...

Constraint Satisfaction Techniques for Agent-Based Reasoning
Constraint Satisfaction Techniques for Agent-Based Reasoning

An important aspect of multi agent systems are agent reasoning techniques for problem solving, either at the level of a single agent or at the level of distributed collaboration amongst multiple agents.

Constraint Satisfaction Problems (CSP) prove to be a generic framework which can be applied for modeling and solving a wide range...

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