Multi-objective optimization problems exist widely in real world applications. Traditional
evolutionary algorithms usually employ individual-based evolution strategies to solve these …

Recommendation method is a popular research technology to solve the problem of “information
overload”. Traditional recommendation methods have problems such as data sparse …

… To illustrate the proposed temporal probabilistic model, we present the hypothetical example
of the consequences of an automobile … The temporal reasoning mechanism is based on …

… This paper discusses relations between the probabilistic and qualitative approaches to …
considerations in probabilistic terms, we come up with the following non-temporal extension of …

… -temporal effects. With these challenges, the effective integration of distributed data mining,
network data mining, data fusion, spatio-temporal reasoning … and probabilistic methods is a …

… theories, such as probabilistic reasoning, non-monotonic reasoning, fuzzy logic and multiple…
aspects of reasoning, and demonstrates that a large part of human plausible reasoning can …

[目的] 分析并评述领域事件知识图谱构建的相关研究, 为后续研究提供理论基础和实践指导.[文献
范围] 利用Web of Science 核心数据库和Google Scholar 以“Event Graph”,“Event extraction” …

… net, generalized stochastic Petri net and probabilistic Petri net. In this paper, … probabilistic
Petri net as reference, we propose a new mixed model NPPN (Nondeterministic Probabilistic …

… This theory of Modal Transition Systems has later been extended to the setting of timed as
well as probabilistic systems [9, 10, 14]. The contributions of this paper may be seen as an …

… On the one hand, the process of multi-source knowledge reasoning can detect conflicts and
… reasoning is also uncertain and needs to be evaluated and verified. Collaborative reasoning …