<p>"This is an excellent book. It offers a clear and concise overview of dynamic preference logic and logics that can reason about both beliefs and preferences. Fenrong has managed to provide an accessible and comprehensive overview of recent work in this area, including very interesting connections with deontic logic and game theory. I highly recommend this book for anyone interested in using logical models to reason about rational agents." <i>Eric Pacuit, Tilburg Center for Logic and Philosophy of Science, The Netherlands</i></p><p>"<b>Reasoning about Preference Dynamics</b> is an innovative and unusually well-written account of human preferences and how they change. It is a<i> must</i> for anyone interested in the dynamics of preferences." <i>Sven Ove Hansson, KTH Royal Institute of Technology, Sweden</i><br /><br />"This nice book presents a survey of preference logics and preference dynamics, very much state-of-the-art, and Fenrong Liu is extremely well-informed about the relevant literature. She has a remarkable talent on how to restrict herself to the essentials, in order to convey the message and produce something very readable."<i> Hans van Ditmarsch, University of Sevilla, Spain<br /><br /></i></p>
Produktdetaljer
Biographical note
Fenrong Liu is an associate professor at Tsinghua University, Beijing, one of the most prestigious universities in China. She received her first Ph.D degree in Philosophy at the Chinese Academy of Social Sciences in 2001 on default reasoning, a topic linking philosophy with Artificial Intelligence. From 2003-2008, she worked at the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam, where she obtained a second Ph.D degree in Science on dynamic logics of preference. She has published some 40 papers, and has organized many events, including a new Chinese conferences series on Logic,Rationality, and Intelligent Interaction (LORI). Her research is aimed at understanding how information changes guide rational agency in terms of beliefs and preference, and in modelling similarities and differences between agents, making room for agent diversity in logic. In addition, she pursues an active program in Chinese Ancient Logic, reading Chinese old texts by modern logical theories.