In this rather technical paper we establish a useful combination of belief revision and verisimilitude according to which better theories provide better predictions, and revising with more verisimilar data results in theories that are closer to the truth. Moreover, this paper presents two alternative definitions of refined verisimilitude, which are more perspicuous than the algebraic version used in previous publications.
机构:
Univ New S Wales, Sch Computer Sci & Engn, Knowledge Systems Grp, Kensington, NSW 2033, AustraliaUniv New S Wales, Sch Computer Sci & Engn, Knowledge Systems Grp, Kensington, NSW 2033, Australia
Zhang, D
Foo, N
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Univ New S Wales, Sch Computer Sci & Engn, Knowledge Systems Grp, Kensington, NSW 2033, AustraliaUniv New S Wales, Sch Computer Sci & Engn, Knowledge Systems Grp, Kensington, NSW 2033, Australia
机构:
Univ New S Wales, Sch Computer Sci & Engn, Knowledge Systems Grp, Kensington, NSW 2033, AustraliaUniv New S Wales, Sch Computer Sci & Engn, Knowledge Systems Grp, Kensington, NSW 2033, Australia
Zhang, D
Foo, N
论文数: 0引用数: 0
h-index: 0
机构:
Univ New S Wales, Sch Computer Sci & Engn, Knowledge Systems Grp, Kensington, NSW 2033, AustraliaUniv New S Wales, Sch Computer Sci & Engn, Knowledge Systems Grp, Kensington, NSW 2033, Australia