Business Intelligence (BI) systems plays a vital role in effective decision making in order to improve the business performance and opportunities by understanding the organization’s environments through the systematic process of information. The development of BI systems is limited due to its huge development costs. Developing the complex systems with Self Organized Multi Agent technology would...

This paper presents the experience of a university research group that has successfully deployed an application of its artificial intelligence research. It identifies some of the factors that have contributed to this success, and proposes a framework for future deployment activities that are consistent with the mission of a research university.

A solution to get the problem off, have you found it? Really? What kind of solution do you resolve the problem? From what sources? Well, there are so many questions that we utter every day. No matter how you will get the solution, it will mean better. You can take the reference from some books. And the computational intelligence for agent based systems is one book that we really recommend you t...

This paper presents some ideas about business intelligence today and the importance of developing real time business solutions. The authors make an exploration of links between business intelligence and artificial intelligence and focuses specifically on the implementation of software agents-based systems in business intelligence. There are briefly presented some of the few solutions proposed s...

Wartime research into code breaking produced “crypto-intelligence,” a discourse in early computing that conflated cryptography with machine and human intelligence. Crypto-intelligence constrained and directed research into intelligent machines and autonomous conversational agents, shaping the agendas of scientists and engineers as well as user attitudes and behaviors. Although dating back to th...

Coordination of agent teams depends on the scale of the team. Teams comprising hundreds of agents tend to perform better with local computation and interactions (i.e. swarm intelligence, evolutionary computing, etc.) Teams comprising tens of agents tend to perform better with more sophisticated agents (e.g. BDI agents) with complex reasoning abilities. In the long term, our objective is to achi...

Artificial Intelligence encompasses the enterprise of building an intelligent agent. To this purpose, the notions of agency and intelligence need to be precisely defined. Much to our demise, intelligence has proved to be hard to grasp in a formal way. To overcome this, Stuart Russell— among others—propounded rational agency as an alternative characterization for intelligent agency. In his own w...

In order to implement artificial intelligence, various technologies have been widely used. Artificial Intelligence is applied for many industrial products and machine tools are the center of manufacturing devices in intelligent manufacturing devices. The purpose of this paper is to present the design of Decision Support Agent that is applicable to machine tools. This system is that decision whe...

Human-agent negotiation is a social task that provides a multifaceted proving ground for artificial intelligence systems that aim to interact with humans in a social context. Designing agents that are capable of negotiating with humans provides threefold benefit. First, it allows information regarding human behavior to be gleaned in an efficient and repeatable context through the use of program...

In recent years prominent intellectuals have raised ethical concerns about the consequences of artificial intelligence. One concern is that an autonomous agent might modify itself to become ”superintelligent” and, in supremely effective pursuit of poorly specified goals, destroy all of humanity. This paper considers and rejects the possibility of this outcome. We argue that this scenario depend...