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The decision making process in communication is affected by internal and external factors from dynamic environments. Humans can perform a variety of behaviors in a similar situation, unlike robots. This paper discusses human psychological phenomena during communication from the point of view of internal and external factors, such as perception, memory, and emotional information. Based on these, we...
This paper discusses the Correntropy Induced Metric (CIM) based Growing Neural Gas (GNG) architecture. CIM is a kernel method based similarity measurement from the information theoretic learning perspective, which quantifies the similarity between probability distributions of input and reference vectors. We apply CIM to find a maximum error region and node insert criterion, instead of euclidean distance...
Multiple sensor data fusion is the technique of associate information from a number of different sensors to produce a robust and comprehensive description. Data fusion pose is using in various robotics application such as environment mapping, object recognition and robot localization. Their relation is generally hard coded and difficult to learn incrementally if new objects or events arise. In this...
This paper describes the empathy oriented human-robot interaction model. It is projected to design the model capable of different empathic responses (parallel and reactive) during the course of interaction with the user, depending upon the personality and mood factors of the robot. The proposed model encompasses three main stages i.e., Perception, empathic appraisal and empathic expression. Perception...
Emotional factor plays an important role in communication. In the field of psychology, it is known that memory and emotions are closely related to each other. In this paper, we present the significance of emotional factors to associative memory in communication and apply it on human–robot interaction problems. Emotional models for the robot partner are developed, and an interactive robot system with...
Emotion and personality are significant factors in communication. In general, during a decision making process in human-human communication, emotional factors will be affected not only the logical thinking, but also the emotional responses. Furthermore, personality gives individual differences among people in behavior patterns, cognitive process and emotional responses. In this paper, we propose the...
Complex-valued neuron is one of the significant and effective innovation in artificial neural networks. It is able to deal with multi-valued pattern and oscillator models. With regard as associative memory, several types of complex-valued artificial neural associative memories have developed, and confirmed its superior abilities. Conventionally, we have developed Quantum-Inspired Mulitidirectional...
Associative memory is one of the significant and effective functions in communication. Conventionally, several types of artificial associative memory models have been de-veloped. In the field of psychology, it is known that human memory and emotions are closely related each other, such as the mood-congruency effects. In addition, emotions are sensitive to sympathy for facial expressions of communication...
Quantum-Inspired Computational Intelligence based on quantum postulates is an emerging research area that exploit the parallelism of quantum mechanics. However, existing research efforts are limited to theoretical simulations and has not been implemented in robot application. With regards as Human-Robot Interaction, associative memory become essential for mutual communication. However, associative...
This paper discussed the Interaction System with Robot Partner using Quantum-Inspired Bi-directional Associative Memory (QBAM). We have been developed QBAM which has the superior Memory Capacity and Recall Reliability compare with conventional models. Due to these advantages, the proposed system can be stored much information and its relationships. Using QBAM, we construct the interaction system that...
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