– This paper outlines a methodology to test agent's intelligence using the general intelligence factor (factor g) and the theory of multiple intelligence in humans. The method presented is also based on the evolutionary theory and deals with knowledge as a kind of stored intelligence. A set of tests assess the multiple intelligences of the agents analyzing their behavior and performance in diff...

Business intelligence (BI) actively supports management activities in gaining insight into their company results and processes, using tools and technologies such as data warehouse, on line analytical processing, data mining, advanced reporting etc. To make qualified decisions managers combine information arriving from BI applications with disperse information about global economic state, their ...

In this paper a multi agent platform targeted towards the area of computational intelligence modeling is presented. We show the design of various computational agents and multi agent systems, as well as the infrastructure capabilities. The focus of the system is the interchangeability of computational components, their autonomous behavior, and emergence of new models. It is demonstrated that su...

It is easy to realize that goals set behind a large class of agent systems match these put forward for systems defined as e-service intelligence. In this chapter we describe a model agent-based e-commerce system that utilizes rule-based approach for price negotiations. Furthermore, the proposed system attempts at mediating the apparent contradiction between agent mobility and intelligence.

One of the main research areas in Artificial Intelligence is the coding of agents (programs) which are able to learn by themselves in any situation. This means that agents must be useful for purposes other than those they were created for, as, for example, playing chess. In this way we try to get closer to the pristine goal of Artificial Intelligence. One of the problems to decide whether an ag...

Agent technology is a Distributed Artificial Intelligence (DAI) approach to implement autonomous entities driven by beliefs, goals, capabilities, plans, and agency properties: adaptation, interaction, learning, etc. Software agents are the focus of considerable research by the artificial intelligence community, but there is still much to be done in the field of software engineering in order to ...

Agent network topology is one of the fundamental issues in the multi-agent area. Different from existing network topological theory, such as LAN or distributed system networks, agent network topology emphasizes communications and transactions between agents. Mobility and intelligence issues are major concerns in agent network topologies and these have not received much attention. In this paper,...

As computer systems are evolving and coming to be regarded as social actors, the importance of social intelligence that enables natural and socially appropriate interactions is gaining a growing interest among the human-computer interaction researchers. This article discusses the definition, importance, and benefits of social intelligence as agent technology. It then describes a collaborative l...

The aim of this report is to research into game development, build the foundations for a solidgame . Game Architecture and Design: A New Edition. This PDF book provide game architecture anddesign a new edition pdf information. To download free game design and artificial intelligencebournemouth you need to register. ExaminationArtificialIntelligence(214030)Oefententam...