Pierre Bessiere, Christian Laugier Probabilistic Reasoning And Decision Making in Sensory Motor Systems

This book explains the role of human behavior research, from both a historical and modern perspective, in improving objective, measurable performance outcomes to include safety, strategic decision making, and organizational performance. The book builds upon empirically supported foundations of human cognition, but with a focus on applying this knowledge in a manner that can improve human decision-making to enhance safety and performance. It includes explanations of how the human mind processes information, including differences in novice versus expert information processing, and tools to combat various cognitive biases. Explained within the framework of complex adaptive systems, this book builds upon resources developed through the author’s years of combined applied research and graduate teaching and includes chapters on the roles of uncertainty and complexity within scientific research. Finally, the book offers tools that are rooted in empirical research and demonstrated within the context of contemporary, real-world scenarios, with a focus on improving organizational effectiveness through improved strategic decision making and the development of learning cultures within organizations.

Problems, methods and algorithms of decision making based on an uncertain knowledge now create a large and intensively developing area in the field of knowledge-based decision support systems. The main aim of this book is to present a unified, systematic description of analysis and decision problems in a wide class of uncertain systems described by traditional mathematical models and by relational knowledge representations. A part of the book is devoted to new original ideas introduced and developed by the author: the concept of uncertain variables and the idea of a learning process consisting in knowledge validation and updating.

This book constitutes the thoroughly refereed proceedings of the 5th International Conference on Information and Knowledge Systems, ICIKS 2021, which was held online during June 22-23, 2021.

This book constitutes the thoroughly refereed proceedings of the 5th International Conference on Information and Knowledge Systems, ICIKS 2021, which was held online during June 22-23, 2021.
The International Conference on Information and Knowledge Systems (ICIKS 2021) gathered both researchers and practitioners in the fields of Information Systems, Artificial Intelligence, Knowledge Management and Decision Support. ICIKS seeks to promote discussions on various organizational, technological, and socio-cultural aspects of research in the design and use of information and knowledge systems in organizations.

This book presents selected proceedings of the International Conference on Business Analytics in Practice (ICBAP2024), which was held on January 8–11, 2024, at the University of Sharjah, UAE.

This book presents selected proceedings of the International Conference on Business Analytics in Practice (ICBAP2024), which was held on January 8–11, 2024, at the University of Sharjah, UAE.

This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis, and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning creates the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing.