TY - GEN
T1 - Intention-based decision making with evolution prospection
AU - Han, The Anh
AU - Pereira, Luís Moniz
PY - 2011/10/26
Y1 - 2011/10/26
N2 - We explore a coherent combination, for decision making, 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 explored so far. The usage and usefulness of the combined system is illustrated with several extended examples.
AB - We explore a coherent combination, for decision making, 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 explored so far. The usage and usefulness of the combined system is illustrated with several extended examples.
UR - http://www.scopus.com/inward/record.url?scp=80054814202&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-24769-9_19
DO - 10.1007/978-3-642-24769-9_19
M3 - Conference contribution
AN - SCOPUS:80054814202
SN - 9783642247682
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 254
EP - 267
BT - Progress in Artificial Intelligence - 15th Portuguese Conference on Artificial Intelligence, EPIA 2011, Proceedings
T2 - 15th Portuguese Conference on Artificial Intelligence
Y2 - 10 October 2011 through 13 October 2011
ER -