Belief merging

Belief merging, also called belief fusion or propositional belief merging, is a process in which an individual agent aggregates possibly conflicting pieces of information, expressed in logical formulae, into a consistent knowledge-base. Applications include combining conflicting sensor information received by the same agent (see sensor fusion) and combining multiple databases to build an expert system.[1][2][3][4] It also has applications in multi-agent systems.

  1. ^ Elmagarmid, Ahmed K.; Rusinkiewicz, Marek; Sheth, Amit (1999). Management of Heterogeneous and Autonomous Database Systems. Morgan Kaufmann. ISBN 978-1-55860-216-8.
  2. ^ Baral, Chitta; Kraus, Sarit; Minker, Jack; Subrahmanian, V. S. (1992-02-01). "Combining Knowledge Bases Consisting of First-Order Theories". Computational Intelligence. 8 (1): 45–71. doi:10.1111/j.1467-8640.1992.tb00337.x. ISSN 0824-7935. S2CID 964506.
  3. ^ Subrahmanian, V. S. (1994-06-01). "Amalgamating knowledge bases". ACM Transactions on Database Systems. 19 (2): 291–331. doi:10.1145/176567.176571. ISSN 0362-5915. S2CID 15968948.
  4. ^ "Modern database systems". Guide books. Retrieved 2023-11-13.