Spiking Reasoning System

© 2017 IEEE. In this position paper the newel approach for the spiking reasoning system for the real-time processing of a robotic system represented. This is the development of the 'Robot dream' architecture presented earlier, specifically the real-time robotic management system. The main idea of the architecture is inherited from our previous works on machine cognition that have their roots in works of Marvin Minsky, specifically 'model of six' as six levels of the mental activity. The principal approach for the high-level architecture and provide examples of the data structures of the spiking reasoning system and robotic system management architecture was demonstrated

Providing developmental feedback to individuals from different ethnic minority groups using expert systems

The paper is an account of a commercially successful and viable expert system entitled FRED (Feedback Reporter Evaluating Development). Expert systems offer a consistent approach to providing feedback to individuals that people with personal biases and emotions may find difficult to achieve. The text used in the expert system is sensitive and carefully worded by a team of skilled professionals, many of whom were from ethnic and cultural minorities. This is especially important when dealing with internal applicants from ethnic minorities as feedback given is consistent, fair, non-judgemental and devoid of possible ethnic prejudices and emotional statements. FRED offers a sensitive, comprehensive and cost-effective method of producing feedback reports for individuals from an ethnic minority and the paper details FRED's design, use and evaluation in an organizational setting. Future research is recommended in utilizing expert systems to provide feedback in assessment and development settings

Emotion Profiling: Ingredient for Rule based Emotion Recognition Engine

Emotions are considered to be the reflection of human thinking and decision-making process which increase his/her performance by producing an intelligent outcome. Hence it is a challenging task to embed the emotional intelligence in machine as well so that it could respond appropriately. However, present human computer interfaces still don2019;t fully utilize emotion feedback to create a more natural environment because the performance of the emotion recognition is still not very robust and reliable and far from real life experience. In this paper, we present an attempt in addressing this aspect and identifying the major challenges in the process. We introduce the concept of 2018;emotion profile2019; to evaluate an individual feature as each feature irrespective of the modality has different capability for differentiating among the various subsets of emotions. To capture the discrimination across target emotions w.r.t. each feature we propose a framework for emotion recognition built around if-then rules using certainty factors to represent uncertainty and unreliability of individual features. This technique appears to be simple and effective for these kind of problems

Can Computers overcome Humans? Consciousness interaction and its implications

Can computers overcome human capabilities? This is a paradoxical and controversial question, particularly because there are many hidden assumptions. This article focuses on that issue putting on evidence some misconception related with future generations of machines and the understanding of the brain. It will be discussed to what extent computers might reach human capabilities, and how it could be possible only if the computer is a conscious machine. However, it will be shown that if the computer is conscious, an interference process due to consciousness would affect the information processing of the system. Therefore, it might be possible to make conscious machines to overcome human capabilities, which will have limitations as well as humans. In other words, trying to overcome human capabilities with computers implies the paradoxical conclusion that a computer will never overcome human capabilities at all, or if the computer does, it should not be considered as a computer anymore.Comment: 16th IEEE Cognitive Informatics and Cognitive Computing preprint, 8 pages; Added references and short discussion for section

DESIGN AND ANALYSIS OF BRAIN EMOTIONAL LEARNING BASED INTELLIGENT CONTROLLER (BELBIC) FOR TEMPERATURE CONTROL

This report presents the project undertaken to design and analyze the performance of temperature control using brain emotional learning control approach. In recent years, theory and applications of intelligent control systems have been a focus in control engineering. Among intelligent control approaches are Artificial Neural Network, Fuzzy Control and Genetic Algorithm

Developing an agent-based model on how different individuals solve complex problems

Purpose: Research that focuses on the emotional, mental, behavioral and cognitive capabilities of individuals has been abundant within disciplines such as psychology, sociology, and anthropology, among others. However, when facing complex problems, a new perspective to understand individuals is necessary. The main purpose of this paper is to develop an agentbased model and simulation to gain understanding on the decision-making and problem-solving abilities of individuals. Design/methodology/approach: The micro-level analysis modeling and simulation paradigm Agent-Based Modeling Through the use of Agent-Based Modeling, insight is gained on how different individuals with different profiles deal with complex problems. Using previous literature from different bodies of knowledge, established theories and certain assumptions as input parameters, a model is built and executed through a computer simulation. Findings: The results indicate that individuals with certain profiles have better capabilities to deal with complex problems. Moderate profiles could solve the entire complex problem, whereas profiles within extreme conditions could not. This indicates that having a strong predisposition is not the ideal way when approaching complex problems, and there should always be a component from the other perspective. The probability that an individual may use these capabilities provided by the opposite predisposition provides to be a useful option.Originality/value: The originality of the present research stems from how individuals are profiled, and the model and simulation that is built to understand how they solve complex problems. The development of the agent-based model adds value to the existing body of knowledge within both social sciences, and modeling and simulation.Peer Reviewe

Developing an agent-based model on how different individuals solve complex problems

Purpose: Research that focuses on the emotional, mental, behavioral and cognitive capabilities of individuals has been abundant within disciplines such as psychology, sociology, and anthropology, among others. However, when facing complex problems, a new perspective to understand individuals is necessary. The main purpose of this paper is to develop an agentbased model and simulation to gain understanding on the decision-making and problem-solving abilities of individuals. Design/methodology/approach: The micro-level analysis modeling and simulation paradigm Agent-Based Modeling Through the use of Agent-Based Modeling, insight is gained on how different individuals with different profiles deal with complex problems. Using previous literature from different bodies of knowledge, established theories and certain assumptions as input parameters, a model is built and executed through a computer simulation. Findings: The results indicate that individuals with certain profiles have better capabilities to deal with complex problems. Moderate profiles could solve the entire complex problem, whereas profiles within extreme conditions could not. This indicates that having a strong predisposition is not the ideal way when approaching complex problems, and there should always be a component from the other perspective. The probability that an individual may use these capabilities provided by the opposite predisposition provides to be a useful option.Originality/value: The originality of the present research stems from how individuals are profiled, and the model and simulation that is built to understand how they solve complex problems. The development of the agent-based model adds value to the existing body of knowledge within both social sciences, and modeling and simulation.Peer Reviewe

Perception- Attention - Memory Reaction Time of PE Teacher and Computer Teacher Candidates

The purpose of the study is to determine the visual and auditory reaction time, perception, attention and memory levels of PE teacher candidates and computer teacher candidates.For this purpose, after giving necessary information to the teacher candidates of the Department of Physical Education and Sports and the candidates of Computer Teaching Department of Kocaeli University, 88 voluntary students, were applied Benton Perception, Attention-Memory test and Newtest 1000 which determined their visual and auditory reaction time. Data was analyzed by using SPSS 21.00 software. The Man Whitney U test was used for the comparison of the paired groups since the data in the normality analysis did not follow a normal distribution. As a result, it was found that computer teacher candidates had higher levels of attention-perception and memory scores than those of PE teacher candidates. PE teacher candidates were found to be faster to perceive auditory stimulus and give reactions