Su, Ezgi Iraz2020-08-302020-08-302019Su, E. I. (2019, May). Epistemic answer set programming. In European Conference on Logics in Artificial Intelligence (pp. 608-626). Springer, Cham.978-3-030-19570-0; 978-3-030-19569-40302-97431611-3349https://doi.org/10.1007/978-3-030-19570-0_40https://hdl.handle.net/20.500.12713/68316th European Conference on Logics in Artificial Intelligence (JELIA) -- MAY 07-11, 2019 -- Rende, ITALYThis paper introduces a new epistemic extension of answer set programming (ASP) called epistemic ASP (E-ASP). Then, it compares E-ASP with existing approaches, showing the advantages and the novelties of the new semantics and discusses which formalisms provide more intuitive results: compared to Gelfond's epistemic specifications (ES), E-ASP defines a simpler, but sufficiently strong language. Its epistemic view semantics is a natural and more standard generalisation of ASP's original answer set semantics, so it allows for ASP's previous language extensions. Moreover, compared to all semantics proposals in the literature, epistemic view semantics facilitates understanding of the intuitive meaning of epistemic logic programs and solves unintended results discussed in the literature, especially for epistemic logic programs including constraints.eninfo:eu-repo/semantics/openAccessAnswer Set ProgrammingEpistemic SpecificationsModal Logic S5Stable ModelsAnswer SetsWorld ViewsAutoepistemic Equilibrium ModelsConference Object11468608626WOS:0004929719000402-s2.0-85065970387Q410.1007/978-3-030-19570-0_40Q3