This is an online publication.
The actions of any cognitive agent are based on a set of concepts and beliefs. Therefore, any change in that agent's actions or behavior will occur as a consequence of revision in an element of the agent's belief network. Thus, planning for the cognitive agents requires an understanding of that agent's belief network. In the past, investigating the belief network of cognitive agents was almost impossible due to the large number of their belief networks, but the modern computational approaches have made it an accessible goal. On the other hand, belief revision itself is being widely used in different fields of study namely cognitive science, psychology, philosophy, logic, artificial intelligence, and cimputational science. The widespread attention to belief revision is because of its application in areas pertaining to human life. Hence, computational approach in social science and belief revision have become the center of attention for scientists, corporations and even politicians because of its vast application in various areas of our life. For instance, to understand how people change their political beliefs encompass many studies in order to find a way for political parties to collect more votes. An example of such studies was carried out by Cambridge Analytica with the aim of changing public beliefs through digital campaign in order to influence the election for president in 2016 in the United States of America as well as the exit of the United Kingdom from European Union known as Brexit scandal.
In this book, you first find a brief review of literature for belief revision and its basics after which there is a discussion on belief revision in a cognitive agent. Then, you will go through all oprations of belief revision with computational approach step by step in details with examples. Those interested in practicing belief revision computational operations may also find the required tools with their detailed guideline and user manual in the book.
ITIL 4 Foundation is the first publication of ITIL 4, the latest evolution of the most widely adopted guidance for ITSM. Its audience ranges from IT and business students taking their first steps in service management to seasoned professionals familiar with earlier versions of ITIL and other sources of industry best practice.
This is an online publication.
This is an online publication.
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