Titlebook: Logical Foundations for Cognitive Agents; Contributions in Hon Hector J. Levesque,Fiora Pirri Book 1999 Springer-Verlag Berlin Heidelberg 1

匯總

機(jī)密

粗語(yǔ)

An Incremental Interpreter for High-Level Programs with Sensing,anguage construct, which together allow much more control to be exercised over when actions can be executed. We argue that such a scheme leads to a practical way to deal with large agent programs containing both nondeterminism and sensing.

咽下

miracle

審問(wèn),審訊

Definitive

Fixpoint 3-valued semantics for autoepistemic logic,grams our least fixpoint semantics expresses both well-founded semantics and 3-valued Fitting-Kunen semantics (depending on the embedding used). We show that, computationally, our semantics is simpler than the semantics proposed by Moore (assuming that the polynomial hierarchy does not collapse).

Mirage

施加

nt to encode retrieved knowledge regardless of the dialogue context, which probably leads to the introduction of irrelevant information. In this paper, we propose a dialogue generation model named CKFS-DG, which filters out context-irrelevant and off-topic knowledge to reduce the influence of redund

gregarious

Richard Rosembergatasets often contain numerous redundant or irrelevant features, significantly impacting downstream tasks in multi-label learning. Therefore, multi-label feature selection, an effective dimensionality reduction method, has attracted the attention of many researchers. Nevertheless, existing multi-lab