The ability of discarding or hiding irrelevant information has been recognized as an important feature for knowledge based systems, including answer set programming. The notion of strong equivalence in answer set programming plays an important role for different problems as it gives rise to a substitution principle and amounts to knowledge equivalence of logic programs. In this paper, we uniformly propose a semantic knowledge forgetting, called HT-and FLP-forgetting, for logic programs under stable model and FLP-stable model semantics, respectively. Our proposed knowledge forgetting discards exactly the knowledge of a logic program which is relevant to forgotten variables. Thus it preserves strong equivalence in the sense that strongly equivalent logic programs will remain strongly equivalent after forgetting the same variables. We show that this semantic forgetting result is always expressible; and we prove a representation theorem stating that the HT-and FLP-forgetting can be precisely characterized by Zhang-Zhou's four forgetting postulates under the HT-and FLP-model semantics, respectively. We also reveal underlying connections between the proposed forgetting and the forgetting of propositional logic, and provide complexity results for decision problems in relation to the forgetting. An application of the proposed forgetting is also considered in a conflict solving scenario.
This study examines the effect of managerial academic experience on firms' financial reporting quality. Using data from China, we find that firms with top managers possessing academic experience exhibit lower levels of both accrual and real earnings management, along with a lower probability of future restatements. This effect is more pronounced for firms with inefficient external monitoring, suggesting that the higher financial reporting quality is mainly explained by the managers' intrinsic motivation to report truthfully. The results hold when we use firm fixed-effect regressions, instrumental variable two-stage regressions, and a propensity score matching (PSM) approach to mitigate the omitted variable and endogeneity concerns. Our study suggests that academic experience can serve as a source of valuable expertise for corporate executives.
K E Y W O R D Sacademic experience, earnings management, expertise, external monitoring, financial reporting quality, imprinting, intrinsic motivation, top management team
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.