TY  - BOOK
AU  - Han,The Anh
ED  - SpringerLink (Online service)
TI  - Intention Recognition, Commitment and Their Roles in the Evolution of Cooperation: From Artificial Intelligence Techniques to Evolutionary Game Theory Models 
T2  - Studies in Applied Philosophy, Epistemology and Rational Ethics,
SN  - 9783642375125
AV  - Q342 
U1  - 006.3 23
PY  - 2013///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Engineering
KW  - Artificial intelligence
KW  - Game theory
KW  - Computational intelligence
KW  - Complexity, Computational
KW  - Cognitive psychology
KW  - Computational Intelligence
KW  - Game Theory, Economics, Social and Behav. Sciences
KW  - Artificial Intelligence (incl. Robotics)
KW  - Complexity
KW  - Cognitive Psychology
N1  - Introduction -- Intention Recognition Methods -- Intention Recognition, Commitment, and the Evolution of Cooperation.  
N2  - This original and timely monograph describes a unique self-contained excursion that reveals to the readers the roles of two basic cognitive abilities, i.e. intention recognition and arranging commitments, in the evolution of cooperative behavior. This book analyses intention recognition, an important ability that helps agents predict others’ behavior, in its artificial intelligence and evolutionary computational modeling aspects, and proposes a novel intention recognition method. Furthermore, the book presents a new framework for intention-based decision making and illustrates several ways in which an ability to recognize intentions of others can enhance a decision making process. By employing the new intention recognition method and the tools of evolutionary game theory, this book introduces computational models demonstrating that intention recognition promotes the emergence of cooperation within populations of self-regarding agents. Finally, the book describes how commitment provides a pathway to the evolution of cooperative behavior, and how it further empowers intention recognition, thereby leading to a combined improved strategy.      
UR  - http://dx.doi.org/10.1007/978-3-642-37512-5
ER  -