TY - GEN
T1 - Probabilistic and logical beliefs
AU - Lloyd, J. W.
AU - Ng, K. S.
PY - 2008
Y1 - 2008
N2 - This paper proposes a method of integrating two different concepts of belief in artificial intelligence: belief as a probability distribution and belief as a logical formula. The setting for the integration is a highly expressive logic. The integration is explained in detail, as its comparison to other approaches to integrating logic and probability. An illustrative example is given to motivate the usefulness of the ideas in agent applications.
AB - This paper proposes a method of integrating two different concepts of belief in artificial intelligence: belief as a probability distribution and belief as a logical formula. The setting for the integration is a highly expressive logic. The integration is explained in detail, as its comparison to other approaches to integrating logic and probability. An illustrative example is given to motivate the usefulness of the ideas in agent applications.
UR - http://www.scopus.com/inward/record.url?scp=50949106980&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-85058-8_2
DO - 10.1007/978-3-540-85058-8_2
M3 - Conference contribution
SN - 3540850570
SN - 9783540850571
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 19
EP - 36
BT - Languages, Methodologies and Development Tools for Multi-Agent Systems - First International Workshop, LADS 2007, Revised Selected and Invited Papers
T2 - 1st International Workshop on Languages, Methodologies and Development Tools for Multi-Agent Systems, LADS 2007
Y2 - 4 September 2007 through 6 September 2007
ER -