Sentence examples for environmental representations from inspiring English sources
Qualitative relational maps (QRM) are useful environmental representations for robots that incorporate information about point like and extended landmarks.
The immersion, motion, and sound offered by virtual worlds may greatly extend the ecological validity of environmental representations and allow for deeper and more meaningful study of the effects of the real world on human experience.
Since the sense of place is defined as a multidimensional attitude including cognitive, conative and affective aspects, the proposed paper examines the socio-cognitive dimension through the structural approach of social representations where shared socio-cognitive meanings are assumed to constitute the central core of environmental representations.
Moreover, it has recently been proposed that the retrosplenial cortex works together with the parieto-occipital sulcus allowing the integration between allocentric environmental representations provided by the hippocampus and mTL and parietal egocentric representations [80].
Studying how environmental representations emerge from scratch provided a new window into the information processing underpinning the brain's navigation system, highlighting the key influence of the RSC.
If this is not the case, afflicted individuals may be falling at the first hurdle, so to speak, and one can understand why spatial disorientation then arises, because upstream regions that rely on good quality input cannot perform optimally to build reliable environmental representations.
End legal "personhood" for corporations; introduction of "site here to sell here" policies; establishment of local boards of directors including significant labour and environmental representation, among other local stakeholders.
Based on the concepts of environmental representation and place attachment, local-community's sense of place is investigated at three territorial scales: the town centre, the town as a whole and the region.
Engineered nanoparticle (ENP) fate models developed to date — aimed at predicting ENP concentration in the aqueous environment — have limited applicability because they employ constant environmental conditions along the modeled system or a highly specific environmental representation; both approaches do not show the effects of spatial and/or temporal variability.
However, as environmental knowledge progresses, a procedural sequence of turns and ultimately an overall environmental representation are learned, suggesting that increased experience will be correlated with decreased reliance on the distant cues perceptible while within intersections.
Furthermore, how might this information be used in building an overall environmental representation?
