Formal analysis of temporal dynamics in anxiety states and traits for virtual patients

This paper presents a temporal dynamic model of anxiety states and traits for an individual. Anxiety is a natural part of life, and most of us experience it from time to time.But for some people, anxiety can be extreme. Based on several personal characteristics, traits, and a representation of events (i.e. psychological and physiological stressors), the formal model can represent whether a human that experience certain scenarios will fall into an anxiety states condition.A number of well-known relations between events and the course of chronic fatigue are summarized from the literature and it is shown that the model exhibits those patterns.In addition, the agent model has been mathematically analyzed to find out which stable situations exist. Finally, it is pointed out how this model can be used in therapy, supported by a software agent

Designing a BDI agent reactant model of behavioural change intervention

Belief-Desire-Intention (BDI) model is well suited for describing agent’s mental state. The BDI of an agent represents its motivational stance and are the main determinant of agent’s actions.Therefore, explicit understanding of the representation and modelling of such motivational stance plays a central role in designing BDI agent with successful behavioral change interventions. Nevertheless, existing BDI agent models do not represent agent’s behavioral factors explicitly. This leads to a gap between design and implementation where psychological reactance has being identified as the cause of BDI agent behavioral change interventions failure. Hence, this paper presents a generic representation of BDI agent model based on behavioral change and psychological theories.Also, using mathematical analysis the model was evaluated. The objective of the proposed BDI agent model is to bridge the gap between agent design and implementation for successful agent-based interventions.The model will be realized in an agent based application that motivates children towards oral hygiene. The study explicitly depicts how agent’s behavioral factors interact to enhance behavior change which will assist agent-based intervention designers to be able to design intervention that will be void of reactance

Development of an adaptive business insolvency clasifier prototype (AVICENA) using hybrid intelligent

Confronted by an increasingly competitive environment and chaotic economy conditions. Businesses are facing with the need to accept greater risk. Businesses do not become insolvent overnight,rather many times creditors, investors and the financial community will receive either direct or indirect indrcations that a company is experiencing financial distress. Thus, this paper analyzed the ability of AVICENA in classifying business insolvency performance events. Neural networks (Multi layer Perceptron - Backpropagation) setves as a classifier mechanism while Apriori algorithms (Auto Association Rules) supports the decision made by the neural networks, in which rules are generated The conventional model in predicting business performances, called as Altman- Z Scores model is used for performance comparison

Development of an adaptive business insolvency classifier prototype (AVICENA) using hybrid intelligent algorithms

Confronted by an increasingly competitive environment and chaotic economic conditions, businesses are faced with the need to accept greater risk.Businesses do not become insolvent overnight, rather creditors, investors and the financial community will receive either direct or indirect indications that a company is experiencing financial distress.Thus, this paper analyzed the ability of AVICENA to classify business insolvency performance events.Neural networks (multilayer perceptron-backpropagation) serves as a classifier mechanism while a priori algorithms (auto association rules) support the decision made by the neural networks, in which rules are generated.The conventional model for predicting business performance, the Altman-Z scores model, is used for performance comparison

An Agent-Based Model for Refined Cognitive Load and Reading Performance in Reading Companion Robot

This paper presents the importance of modeling dynamical behaviors of human cognitive states that serves as a core foundation in creating intelligent and responsive systems. It discusses in detail the development of a dynamical model of cognitive load and reading performance which acts as the central component of creating a reading companion robot. Simulations results show realistic behaviour patterns that adhere to the literature. Finally, the results produced from an automated verification approach to validate the internal correctness of the proposed model using Temporal Trace Language (TTL) are shown

On modeling of interviewee motivation mental states for an intelligent coaching agent

This paper is on agent based model of interview motivation to be integrated in a mental constructs model which serves as a basic mechanics for an intelligent virtual agent coaching for job interview. It has been hypothesized that interview motivation combines with self-efficacy and anxiety to define the mental state of a job interviewee. The concepts were modeled based on psychological theories defining human mental state in a time bounded tasking situation like job interview. The proposed model was formalized and simulated to according to its temporal behaviours. The results of the simulation conform to patterns of a number of relations and casual effects on motivation identified in literature. Additionally, the formal model has been automatically verified using Temporal Trace Language (TTL) to find out which stable situations exist. Consequently, this model can serve as a platform for designing an intelligent agent that can understand the metal state of the user during job interview coaching session

WEBIC: a web based business insolvency classifier using neural networks

Business insolvency is one of the major problems faced by decision makers, especially to detect the early symptom that may contribute to critical business condition.This paper discusses the implementation of neural networks in classifying business insolvency cases in Malaysia. The developed prototype can be accessed remotely via World Wide Web (WWW).For the development purposes, the data was obtained from the Registrar of Business / Companies (ROB/ROC), Kuala Lumpur Stock Exchange and Bank Negara Malaysia (Central Bank of Malaysia).Several experiments were conducted to determine the most suitable parameters for the neural network model.Based on the experimental results, a network with an architecture of 11-6-1 with learning rate 0.1 and momentum term of 0.5. The prototype obtained 90.25% generalization and therefore indicates that the prototype has the potential to be used as a tool for classifying business insolvency.Hence, the prototype provides a basic framework for developing such a classifie

WEBIC: a web based business insolvency classifier using neural networks

Business insolvency is one of the major problems faced by decision makers, especially to detect the early symptom that may contribute to critical business condition.This paper discusses the implementation of neural networks in classifying business insolvency cases in Malaysia. The developed prototype can be accessed remotely via World Wide Web (WWW).For the development purposes, the data was obtained from the Registrar of Business / Companies (ROB/ROC), Kuala Lumpur Stock Exchange and Bank Negara Malaysia (Central Bank of Malaysia).Several experiments were conducted to determine the most suitable parameters for the neural network model.Based on the experimental results, a network with an architecture of 11-6-1 with learning rate 0.1 and momentum term of 0.5. The prototype obtained 90.25% generalization and therefore indicates that the prototype has the potential to be used as a tool for classifying business insolvency.Hence, the prototype provides a basic framework for developing such a classifie

The model of small group web management system

Web content and web management become more important in recent days. The increasing number of information and internet facility has enabled the enhancement of information sharing in the organization. Static web site is considered unsuitable for the advancement of the information era. The need for structured and manageable contents of the web site is among the important features of nowadays web development. The development of Web Management System (WMS) as a tool to support document, information and content management is to encourage all members in the group or the organization to play the different important roles. This also enables the collaboration among its members so that the web system will succeed. WMS can be used to reduce the time to develop the website and modification of the content in the page can be done in different place. Members who are responsible to the web site can be anyone using their own privilege towards the system. Different types of user class may have their own web user account to access certain resources in the WMS. Therefore, the WMS can offer various functionalities to the group or organization. The general objective of this project is to design a small group web management system model and it can be used by the group to communicate, share or work through online environment