regarding the complexity of social systems and the presence of autonomousintervenes, designing and making the future requires a special strategy, which can harmonize these elements with itself. this can be possible by future depicting, which makes an insight into the desired future, and presents a real perspective of it; and/or it promotes a planned perception of the desired status to impose a...

Abstract There is a longstanding debate whether the Kolmogorov–Arnold representation theorem can explain use of more than one hidden layer in neural networks. The decomposes multivariate function into an interior and outer therefore has indeed similar structure as network with two layers. But there are distinctive differences. One main obstacles that depends on represented be wildly varying eve...

The current research presents a system that learns to understand object names, spatial relation terms and event descriptions from observing narrated action sequences. The system extracts meaning from observed visual scenes by exploiting perceptual primitives related to motion and contact in order to represent events and spatial relations as predicate-argument structures. Learning the mapping be...

Constituency parser performance is primarily interpreted through a single metric, F-score on WSJ section 23, that conveys no linguistic information regarding the remaining errors. We classify errors within a set of linguistically meaningful types using tree transformations that repair groups of errors together. We use this analysis to answer a range of questions about parser behaviour, includin...

In this paper, we introduce for the first time a Distributional Model for computing semantic complexity, inspired by the general principles of the Memory, Unification and Control framework (Hagoort, 2013; Hagoort, 2016). We argue that sentence comprehension is an incremental process driven by the goal of constructing a coherent representation of the event represented by the sentence. The compos...