Verisimilitude based on concept analysis

In the paper ordering relations for comparison of verisimilitude of theories are introduced and discussed. The relations refer to semantic analysis of the results of theories, in particular to analysis of concepts the theories deal with.

[1]  Zdzislaw Pawlak,et al.  On learning - a rough set approach , 1984, Symposium on Computation Theory.

[2]  I. Niiniluoto.  Truthlikeness in First-Order Languages , 1979 .

[3]  Nils J. Nilsson,et al.  Principles of Artificial Intelligence , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  David W. Miller.  On Distance from the Truth as a True Distance , 1979 .

[5]  Zdzislaw Pawlak,et al.  Information systems theoretical foundations , 1981, Inf. Syst..

[6]  Risto Hilpinen,et al.  Approximate Truth and Truthlikeness , 1976 .

[7]  Ewa Orlowska.  Logical aspects of learning concepts , 1988, Int. J. Approx. Reason..

[8]  K. Popper,et al.  Conjectures and Refutations , 1963 .

[9]  Theo A.F. Kuipers,et al.  Approaching descriptive and theoretical truth , 1982 .

[10]  P. Tichý,et al.  ON POPPER'S DEFINITIONS OF VERISIMILITUDE1 , 1974, The British Journal for the Philosophy of Science.

[11]  Ewa Orlowska,et al.  Expressive Power of Knowledge Representation Systems , 1984, Int. J. Man Mach. Stud..

[12]  Douglas B. Lenat,et al.  Knowledge-based systems in artificial intelligence , 1981 .

[13]  David W. Miller.  POPPER'S QUALITATIVE THEORY OF VERISIMILITUDE , 1974, The British Journal for the Philosophy of Science.

[14]  Karl R. Popper.  A NOTE ON VERISMILITUDE , 1976, The British Journal for the Philosophy of Science.

[15]  David Miller.  ON THE COMPARISON OF FALSE THEORIES BY THEIR BASES , 1974, The British Journal for the Philosophy of Science.

[16]  John H. Harris.  POPPER'S DEFINITIONS OF ‘VERISIMILITUDE’1 , 1974, The British Journal for the Philosophy of Science.