Volume 2 Issue 4
Authors: Kazuhiko Takahashi; Shin-ya Namikawa; Masafumi Hashimoto
Abstract: In this paper, person–independent computational emotion recognition using multimodal physiological signals - in this study, plethysmogram, skin conductance change, respiration rate and skin temperature - is investigated. Psychophysical experiments are conducted using Japanese kanji words in order to excite three emotions, such as positive, negative and neutral, in subjects and thus elicit physiological signals. The concept of machine learning approaches, such as multilayer neural networks, support vector machines, decision trees and random forests, is used to design emotion recognition systems, and the recognition systems are trained and tested using gathered data under the psychophysical experiments to investigate their characteristics. In experiments of computational emotion recognition, the maximum average recognition rates are 38% using multilayer neural networks, 40% using support vector machines equipped with a Gaussian kernel function, 37% using decision trees and 33% using random forests for all three emotions. The results of the emotion recognition experiments show that using multimodal physiological signals with a machine learning approach is feasible and appropriate for person–independent computational emotion recognition.
Keywords: Emotion Recognition; Japanese Kanji Words; Physiological Signal; Neural Networks; Support Vector Machines; Decision Trees; Random Forests
Authors: Jay Martin
Abstract: This paper stresses that the understanding and use of neuroscience and an awareness of brain biology is crucial to contemporary psychology, and must be incorporated into theory and practice. It shows that such a practice was present in early American psychology and in recent decades it has been renewed and expanded. It examines the central concepts uniting psychology and neuroscience.
Keywords: Psychology; Neurology; Brain; Neuroscience; Neuropsychology; Psychoanalysis; Behavior; Mind; Emotions; Theory; Treatment; Emotions; Psychodynamics; Neural Connections; Pre-Frontal Cortex; Stress Hormones; Psychic Energy; Unconscious; Language; Memory
Authors: Manahan Siallagan; Hiroshi Deguchi; Manabu Ichikawa
Abstract: Many experimental studies have been built to investigate social dilemmas. There are some clues in these studies that can be used to create mechanisms to overcome social dilemmas. This research deals with a simulation model that uses a mechanism of sharing aspiration based on some of such clues, i.e., individuals’ expectations, information seeking and communication, obtained from previous experimental studies on social dilemmas. A mechanism of sharing aspiration is combined with a learning process to promote cooperative behavior in a group. Simulation results show that the mechanism of sharing aspiration shaped by learning can promote cooperative behavior in a group.
Keywords: Aspiration Levels; Learning; Public Goods Game; Social Dilemmas; Sharing Aspiration