Situated conditional reasoning
نویسندگان
چکیده
Conditionals are useful for modelling, but not always sufficiently expressive capturing information accurately. In this paper we make the case a form of conditional that is situation-based. These conditionals more than classical conditionals, general enough to be used in several application domains, and able distinguish, example, between expectations counterfactuals. Formally, they shown generalise setting style Kraus, Lehmann, Magidor. We show situation-based can described terms set rationality postulates. then propose an intuitive semantics these present representation result which shows our semantic construction corresponds exactly description With place, proceed define entailment situated knowledge bases, refer as minimal closure. It reminiscent and, indeed, inspired by, version propositional bases known rational Finally, it possible reduce computation closure series satisfiability checks. While also closure, somewhat surprising carries over
منابع مشابه
Situated Reasoning and Rational Behaviour
During the last few years, researchers in Arti cial Intelligence have become increasingly concerned with the problem of designing architectures for intelligent systems that are required to operate in complex dynamic environments. The potential applications are both diverse and economically important|for example, the management of air tra c and other transport services; the control of telecommun...
متن کاملSituated Cognition in Diagrammatic Reasoning
Terms uch as intuition are frequently used to describe the experk.nce of immediacy in the comprehension of possible behavior from diagrams or computer interfaces. If this aspect of cognition is operationalized as automatic processing reflecting certain environmental constraints (st a~nements), the effects of intuition can accommodated within a more general model of cognitive difficulty. The ava...
متن کاملConditional Partial Plans for Rational Situated Agents Capable of Deductive Reasoning and Inductive Learning
Rational, autonomous agents that are able to achieve their goals in dynamic, partially observable environments are the ultimate dream of Artificial Intelligence research since its beginning. The goal of this PhD thesis is to propose, develop and evaluate a framework well suited for creating intelligent agents that would be able to learn from experience, thus becoming more efficient at solving t...
متن کاملCausal Conditional Reasoning and Conditional Likelihood
We hypothesized that causal conditional reasoning reflects judgment of the conditional likelihood of causes and effects based on a probabilistic causal model of the scenario being judged. Although this proposal has much in common with Cummins’ (1995) theory based on the number of disabling conditions and alternative causes, it takes more variables into account and therefore makes some differing...
متن کاملConditional probabilistic reasoning without conditional logic
Imaging is a class of non-Bayesian methods for the revision of probability density functions originally proposed as a semantics for conditional logic. Two of these revision functions, Standard Imaging and General Imaging, have successfully been applied to modelling information retrieval (IR). Due to the problematic nature of a“direct” implementation of Imaging revision functions, we propose the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 2023
ISSN: ['2633-1403']
DOI: https://doi.org/10.1016/j.artint.2023.103917