Scientific study of dreams requires the most objective methods to reliably analyze dream content. In this context, artificial intelligence should prove useful for an automatic and non subjective scoring technique. Past research has utilized word search and emotional affiliation methods, to model and automatically match human judges’ scoring of dream report’s negative emotional tone. The current study added word associations to improve the model’s accuracy. Word associations were established using words’ frequency of co-occurrence with their defining words as found in (...) a dictionary and an encyclopedia. It was hypothesized that this addition would facilitate the machine learning model and improve its predictability beyond those of previous models. With a sample of 458 dreams, this model demonstrated an improvement in accuracy from 59% to 63% on the negative emotional tone scale, and for the first time reached an accuracy of 77% on the positive scale. (shrink)

We present Activity Analysis as a new method for the quantification of subjective reports of altered states of consciousness with regard to the indicated level of simulated motor activity. Empirical linguistic activity analysis was conducted with dream reports conceived immediately after EEG-controlled periods of hypnagogic hallucinations and REM-sleep in the sleep laboratory. Reports of REM-dreams exhibited a significantly higher level of simulated physical dreamer activity, while hypnagogic hallucinations appear to be experienced mostly from the point of passive observer. This study (...) lays the groundwork for clinical research on the level of simulated activity in pathologically altered states of subjective experience, for example in the REM-dreams of clinically depressed patients, or in intrusions and dreams of patients diagnosed with PTSD. (shrink)

The phenomenal character of conscious experience has long been regarded as the major problem for physicalist accounts of consciousness. In recent years, defenders of physicalism have typically been relying on the so-called Phenomenal Concept Strategy to avoid dualism. In this paper, we argue with PCS that cognitive-physicalistic explanations can account for the peculiarities of phenomenal character. However, we think that the conceptual features PCS investigates are not the genuine causes of the special characteristics of phenomenal consciousness but only symptoms, which (...) can themselves be explained in terms of the features of the sensory-perceptual representations underlying conscious experiences, namely that some, but not all, of these states are representationally unstructured. (shrink)