by Andras Kornai
Number of pages: 90
Mathematical Linguistics introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians interested in natural language processing. The book presents linguistics as a cumulative body of knowledge from the ground up: no prior knowledge of linguistics is assumed. As the first textbook of its kind, this book is useful for those in information science and in natural language technologies.
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by Ahmed Rebai (ed.) - InTech
Bayesian networks are a general tool that can be used for a large number of problems involving uncertainty: reasoning, learning, planning and perception. This is a collection of contributions to the methodology and applications of Bayesian networks.
by Felix T.S. Chan, Manoj K. Tiwari - InTech
Motivated by the capability of the biologically inspired algorithms, the book aims to present recent developments in optimization with swarm intelligence techniques. The book also presents some selected representative case studies.
by Gregg Schaffter
With the increase in development of technology, there is research of human-like artificial intelligence that can be self-aware and act just like humans. This book explores how we may be close to developing a true artificially intelligent being.
by Bill Hibbard - arXiv
This book analyzes the issues of ethical artificial intelligence. The behavior of future AI systems can be described by mathematical equations, which are adapted to analyze possible unintended AI behaviors and ways that AI designs can avoid them.