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

Gerontology

Sheila A. Mcllraithached by a graph regularized autoencoder approach. This new method introduces a novel adaptive parameter to achieve robust integration of the topological and content information when there exists the mismatch between those two types of information in term of communities. Experiments on both syntheti

弯曲的人

Predigest

Yves Lespérance,Kenneth Tam,Michael Jenkin gap between the original vocabulary and domain terms in the embedding space. We evaluate our method on both general and biomedical NLP tasks, and experimental results demonstrate a significant improvement in BERT’s performance across all biomedical NLP tasks without affecting its performance on gen

Ceremony

Vladimir Lifschitz action space, PRACM uses Gumbel-Softmax. And to promote cooperation among agents and to adapt to cooperative environments with penalties, the predictive rewards is introduced. PRACM was evaluated against several baseline algorithms in “Cooperative Predator-Prey” and the challenging “SMAC” scenarios

Amplify

Fangzhen Linin the learned useful meta-path graph as an explanation. Experimental results on two real-world datasets demonstrate KGTN’s superiority over state-of-the-art methods in terms of recommendation performance and explainability. Furthermore, KGTN is shown to be effective at handling data sparsity and co

放大

debris

放肆的我

https://doi.org/10.1007/978-3-642-60211-5agents; artificial intelligence; behavior; commonsense reasoning; control; default logic; hybrid systems; k

Torrid

biopsy

Success of Default Logic,Ray Reiter’s . was published almost twenty years ago, but it is widely used today by researchers in knowledge representation, commonsense reasoning and logic programming. This note is a collection of random comments on aspects of this success story.