The SGIA and the Common Growing Language

Human or virtual agents are presented in our lives daily. They serve our purposes and represent us in different many situations. Nowadays the number of virtual agents is increasing daily because they are cheaper, faster and more accurate than human agents. Our aim in this article is to define a new type of intelligent agent called SGIA – Self Growing Intelligent Agent and a new defining language for it. The SGIA agent is an intelligent agent with all the common agents’ characteristics and with other special one: that to learn and grow by itself in knowledge and size.Software Agent, Knowledge Management, Education Process, Language Development

Intelligent agent simulator in massive crowd

Crowd simulations have many benefits over real-life research such as in computer games, architecture and entertainment. One of the key elements in this study is to include elements of decision-making into the crowd. The aim of this simulator is to simulate the features of an intelligent agent to escape from crowded environments especially in one-way corridor, two-way corridor and four-way intersection. The addition of the graphical user interface enables intuitive and fast handling in all settings and features of the Intelligent Agent Simulator and allows convenient research in the field of intelligent behaviour in massive crowd. This paper describes the development of a simulator by using the Open Graphics Library (OpenGL), starting from the production of training data, the simulation process, until the simulation results. The Social Force Model (SFM) is used to generate the motion of agents and the Support Vector Machine (SVM) is used to predict the next step for intelligent agent

Descartes’ Intelligent Agent

Neither the natural science explanation about the agent nor the modern and postmodern philosophical interpretation of the agent (subject) have sounded the death knell of the metaphysical subject in the era of information revolution. The artificial intelligence technology represented by Microsoft Avatar Framework has spread to the creative fields such as music and literature, which are unique to human beings, showing a broad application prospect and arousing academic reflection on human subject. Despite the numerous advantages posed intelligent agents, it is neither desirable nor possible to pull out the subject’s power supply and give up AI or give up human social intelligence. Rethinking Descartes' theory of mind and body will lead to in-depth development of AI

Describing intelligent agent behaviors

The development of new intelligent agents requires an interdisciplinary approach to programming. The initial challenge is to describe the desired agent behaviors and abilities without necessarily committing the agent development project to one particular programming language. What are the appropriate linguistic and logical tools for creating a top level, unambiguous, program-independent, and consistent description of the functions and behaviors of the agent? And how can that description then be translated easily into one of a number of program languages? This article provides a case study of the application of a simple Belief, Desire, and Intention (EDI) first order logic to a complex set of agent functions of a theoretical community of intelligent nano-spacecraft. The basic research was conducted at NASA-GSFC (Greenbelt), Advanced Architecture Branch, during the summer of 2001. The simple examples of applied BDI logic presented here suggest broad application in agent software development

Simulating the Investor’s Behavior in Stock Market with an Intelligent Agent

In this paper, from the investor’s perspective, we will use intelligent agents to simulate the investor’s behaviors. The intelligent agent will learn the investor’s behavior according to investor’s historical data. It will learn from the decisions making for the investment. And we will build a virtual stock market in which intelligent agents can invest according to their decisions. Intelligent agents’ investment decisions are different due to different consideration and conclusion for the same message. Then, every intelligent agent will deal with these messages. We will train intelligent agent with data mining technology and artificial neural network to make the intelligent agent’s behaviors similar to investor’s behaviors in the real world. The intelligent agent makes decisions and invests in the virtual stock market

Intelligent Voice Email Agent: A Multimedia Solution

Intelligent agent theory is an important concept in artificial intelligent area. An intelligent agent, in a nutshell, is an intelligent program that uses agent communication protocols to exchange information for automatic problem solving, performing specific tasks on behalf of their users. Our objective is to investigate what an intelligent agent consists of and to implement several important aspects of it. In particular, we are interested in an intelligent agent that is able to take care of the incoming messages while the user is concentrating on some other duties. We develop an agent-based design framework and implement an intelligent agent system - voice email system that monitors incoming emails for us while we are surfing the Internet. A special feature of this system is that the agent reads any new messages for users. This initiative is based on the perception of real world needs and the academic research development. Based on what we have done, we can extend our agent capabilities. For example, two mail agents should be able to communicate each other to achieve more complicated task