Trust is significant for e-commerce and has received increasing attention in e-commerce, multiagent systems, and artificial intelligence (AI). However, little attention has been given to the theoretical foundation and intelligent techniques for trust in e-commerce from either a logical or intelligent systems viewpoint. This paper will fill this gap by examining knowledge-based trust, inference-...

In recent years, there has been a tendency to confuse the terms Intelligence, Autonomy, and Capability. In this paper we present the viewpoint that intelligence and capability are independent. These two factors describe an orthogonal design space that places upper bounds on the autonomy of the intelligent system. This design space for intelligent systems is illustrated by describing existing in...

Abst rac t . The role of perception and action in current AI systems is analyzed and some points concerning present AI methodologies are discussed. It is argued that if we accept as a central goal for AI to build artificial systems that behave in an intelligent way in the real world, then additional evaluation criteria for intelligent systems should be used. Finally, some of these criteria are ...

Normative multiagent systems as a research area can be defined as the intersection of normative systems and multiagent systems. Since the use of norms is a key element of human social intelligence, norms may be essential too for artificial agents that collaborate with humans, or that are to display behavior comparable to human intelligent behavior. By integrating norms and individual intelligen...

In this project we focuss on intelligent dynamic urban traffic management and control system that can adaptively respond to real-time traffic conditions. In this paper we investigate the usability and aplicability of autonomous intelligent agents, while maintaining high levels of accuracy and usability of such a dynamic urban traffic system. Aim of this part of the research is to develop insigh...

The usability of traffic management and traffic control systems greatly depends on its ability of reacting upon traffic patterns and permutations. In this research we investigate the possibility of using autonomous intelligent agents to reduce workloads of traffic control operators, while maintaining high levels of usability. This paper describes an intelligent dynamic traffic management and co...

Human beings have the real intelligence. The intelligence triggers new thoughts in mind. Human thoughts so many things but he may take long times to solve a complex problem. If he builds such a system which work as like human intelligence, then the time taken to solve the complex problem may be very less. In this case he provides the Artificial Intelligence (AI) to the system. Artificial intell...

This paper highlights research into using virtual worlds, intelligent environments and mixed reality to create artificial control systems for simulated humans. Following a brief explanation of this project, the beneficial contribution provided by virtual worlds, intelligent environments and mixed reality systems is outlined. Throughout this project a series of experimental iWorlds, (virtual and...

Sometimes, in order to mature, a methodology operates outside the mainstream for a period of time; it becomes the mainstream methodology only after this phase. This happened, for example, with neural networks, which appeared in the early 60's, but became the mainstream in research only 25 years later, after the development of the backpropagation algorithm as its learning algorithm. It happened ...