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Previous treatments of Artificial Intelligence (AI) divide the subject into its major areas of application, namely, natural language processing, automatic programming, robotics, …
The availability of big data due to computerization and automation has generated an urgent need for new techniques to analyze and convert big data into useful information and …
This book discusses multi-agent technologies (MATs) and machine learning (ML). These tools can be integrated and applied in industry, commerce, energy, medicine, psychology, and …
Recent times are witnessing rapid development in machine learning algorithm systems, especially in reinforcement learning, natural language processing, computer and robot vision, …
In 1992 it seemed very difficult to answer the question whether it would be possible to develop a portable system for the automatic recognition and translation of spon taneous …
When I first participated in exploring theories of nonmonotonic reasoning in the late 1970s, I had no idea of the wealth of conceptual and mathematical results that would emerge …
The main subject and objective of this book are logical foundations of non monotonic reasoning. This bears a presumption that there is such a thing as a general theory of non …
Knowledge representation is perhaps the most central problem confronting artificial intelligence. Expert systems need knowledge of their domain of expertise in order to function …
Artificial Intelligence (AI) has attracted the attention of many researchers and users alike, and it has become increasingly crucial in our modern society. From cars, smartphones, …
Artificial intelligence (AI) has attracted the attention of many and is taking an increasingly crucial role in our modern society. AI machines demonstrate advanced cognitive skills …