The aim of the experimental study described in this paper is to show the impact of a character-based interface on users’ emotional state which is derived from physiological signals of the user. Our results suggest that an embodied interface agent with emphatic behavior may significantly decrease user frustration and stress. Other findings are comparable to the ‘Persona effect’ of previously per...

We present a demonstration of the intelligent agent-based system ORIENT (Overcoming Refugee Integration with Empathic Novel Technology). We summarise the application domain: education for inter-cultural empathy; the technology used and the innovations this involves; and finally interaction with ORIENT.

System for Stock Price Prediction M. H. Fazel Zarandi,1,∗ Esmaeil Hadavandi,1,† I. B. Turksen2,3 Department of Industrial Engineering, Amirkabir University of Technology, P.O. Box 15875-4413, Tehran, Iran Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada M5S2H8 Department of Industrial Engineering, TOBB University of Economics and Technology, S...

Some work on modelling boundedly rational agents in organisations is described. It is then argued that social intelligence is not merely intelligence plus interaction but should allow for individual relationships to develop between agents. This means that, at least, agents must be able to distinguish, identify, model and address other agents, either individually or in groups; in other words tha...

This paper presents an intelligent user interface agent architecture based on Bayesian networks. Using a Bayesian network not only dynamically captures and models user behavior, but it also dynamically captures and models uncertainty in the interface's reasoning process. We present an approach that allows our intelligent interface agent (IIA) to alter its own topology to better adapt itself to ...

To improve the motivation analysis effect of technological startups business model, this study combines intelligent data mining technology to analyze related factors and proposes a method adjusting parameters machine-learning model based on Bayesian optimization algorithm. Moreover, integrates prior information sample machine learning algorithm performance function builds an elements model. Fin...

In this paper, we study the significance of the cognitive capacity in the context of double auction experiments. These experiments are then simulated using artificial agents in an agent-based modeling environment, and the results are compared with the results from human subjects.

Criminal behaviour exists in many variations, each with its own cause. A large group of offenders only shows criminal behaviour during adolescence. This kind of behaviour is largely influenced by the interaction with others, through social learning. This paper contributes a dynamical agent-based approach to simulate social learning of adolescence-limited criminal behaviour, illustrated for a sm...

Production and conflict models have been used over the past 30 years to represent the effects of unproductive resource allocation in economics. Their major applications are in modelling the assignment of property rights, rentseeking and defense economics. This paper describes the process of designing an agent used in a production and conflict model. Using the capabilities of an agent-based appr...