TY - JOUR
T1 - Intention based decision making and applications
AU - Han, The Anh
PY - 2013/1/1
Y1 - 2013/1/1
N2 - This chapter presents an intention-based decision making system. We exhibit a coherent combination of two Logic Programming based implemented systems, Evolution Prospection and Intention Recognition. The Evolution Prospection system has proven to be a powerful system for decision making, designing and implementing several kinds of preferences and useful environment-triggering constructs. It is here enhanced with an ability to recognize intentions of other agents—an important aspect not well explored so far. The usage and usefulness of the combined system are illustrated with several extended examples in different application domains, including Ambient Intelligence and Elder Care.
AB - This chapter presents an intention-based decision making system. We exhibit a coherent combination of two Logic Programming based implemented systems, Evolution Prospection and Intention Recognition. The Evolution Prospection system has proven to be a powerful system for decision making, designing and implementing several kinds of preferences and useful environment-triggering constructs. It is here enhanced with an ability to recognize intentions of other agents—an important aspect not well explored so far. The usage and usefulness of the combined system are illustrated with several extended examples in different application domains, including Ambient Intelligence and Elder Care.
UR - http://www.scopus.com/inward/record.url?scp=85019772821&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-37512-5_4
DO - 10.1007/978-3-642-37512-5_4
M3 - Article
AN - SCOPUS:85019772821
SN - 2192-6255
VL - 9
SP - 55
EP - 74
JO - Studies in Applied Philosophy, Epistemology and Rational Ethics
JF - Studies in Applied Philosophy, Epistemology and Rational Ethics
ER -