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Intelligent systems
The document discusses intelligent systems, defining intelligence as a system's ability to achieve its objectives through experience and learning. It defines a system as having limited boundaries and an environment outside those boundaries. An intelligent system learns actions to achieve its objectives by sensing its environment, developing concepts from those senses, and storing response rules to apply concepts and choose actions. The system continually learns and refines its response rules through experiences. The document also lists several books and journals related to intelligent systems research.
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Intelligent systems
- 1. Intelligent Systems T_momeni8116@yahoo.com mo1noor@yahoo.com
- 3. INTELLIGENT Systems What isIntelligence There are many definitions of intelligence. A person that learns fast or one that has a vast amount of experience, could be called "intelligent". However for our purposes the most useful definition is: the systems comparative level of performance in reaching its objectives. This implies having experiences where the system learned which actions best let it reach its objectives. By the way, persons are not intelligent in all areas of knowledge, they are only intelligent in those areas where they had experiences What is a System A system is part of the universe, with a limited extension in space and time. What is outside the frontier of the system, we call its environment. Stronger or more correlations exist between one part of the system and another, than between this part of the system and parts in the environment. What is an Intelligent System An intelligent system learns how to act so it can reach its objectives.
- 4. Details of theIntelligent System The main processes occurring within the intelligent systems are the following: The Intelligent System has a temporary objective, that it has derived from its main objective. It senses its environment, although we have to realize that it has only a few senses and that these can only capture, for instance, light and sound of an object, but can not capture or know the object itself. The system then stores these sense impressions as elementary concepts. Concepts are a material way of storing information. Working on concepts it creates new ones and stores relationships to other total, part, abstract and concrete concepts. In the following we explain this in more detail. Of course you realize that there is a difference between an object or occurrence in the environment, the concept the system uses for its internal processing and the word it uses to communicate about the concept. To continue with the internal processes, in more intelligent systems there should now be a check of the incoming information. With all the information, expressed as concepts, the system builds up the present situation. Now it looks into its memory and finds applicable response rules. It chooses one of the best it has found and performs the corresponding action. Response rules are a field of storage that includes the present situation to which the
- 5. Continue… The intelligent systemcontinually records the present situation and the action that followed as a response rule. The very first response rules are due to chance actions and to teaching. When the system is externally inactive, that is it sleeps, it reviews the response rules stored in its memory and performs some generalizations. It makes abstractions of concepts and creates the corresponding response rules, including these abstractions. Further comparisons are between the situation and action of a series or recently learned response rules as well as comparisons between situations of different response rules and between actions of different response rules. By all these activities, starting with very concrete response rules, it creates response rules that are applicable to several different but similar situations. After some while, its memory is full and it forgets the least used concepts and response rules.
- 6. IEEE Intelligent Systems IEEEIntelligent Systems is published by the IEEE Computer Society, as ISSN 1541- 1672. IEEE Intelligent Systems emphasizes current practice and experience and promising new ideas that will likely see use in the near future. We welcome articles on topics across the spectrum of related work. Example topics include: Knowledge-based systems Intelligent software agents Natural language processing Knowledge management Machine learning Data mining Adaptive and intelligent robotics The Semantic Web Social issues relevant to intelligent systems
- 7. Books Robot Technology andApplications By Rembold Series: Manufacturing Engineering and Materials Processing Published May 24th 1990 by CRC Press Fundamentals of Robotics By David Ardayfio Series: Dekker Mechanical Engineering Published May 28th 1987 by CRC Press What Every Engineer Should Know about Robots By Zeldman Series: What Every Engineer Should Know Published March 26th 1984 by CRC Press Worldwide Intelligent Systems ISBN: 978-90-5199-183-3 Authors/editors: Liebowitz, J., Prerau, D.S.
- 8. Books Intelligent Systems Modeling, Optimization,and Control By Yung C. Shin, Chengying Xu Series: Automation and Control Engineering Providing a thorough introduction to the field of soft computing techniques, Intelligent Systems: Modeling, Optimization, and Control covers every major technique in artificial intelligence in a clear and practical style. This book highlights current research and applications, addresses issues... Published December 21st 2008 by CRC Press Intelligent Infrastructure Neural Networks, Wavelets, and Chaos Theory for Intelligent Transportation Systems and Smart Structures By Hojjat Adeli, Xiaomo Jiang Recent estimates hypothesize that the US will need $1.6 trillion dollars for the rehabilitation, replacement, and maintenance of existing infrastructure systems within the next 20 years. Presenting a new vision and way of designing and managing the civil infrastructure of the nation, Intelligent... Published October 5th 2008 by CRC Press
- 9. Books Intelligent Network Video UnderstandingModern Video Surveillance Systems By Fredrik Nilsson, Communications Axis Offering ready access to the security industry’s cutting-edge digital future, Intelligent Network Video provides the first complete reference for all those involved with developing, implementing, and maintaining the latest surveillance systems. Pioneering expert Fredrik Nilsson explains how... Published September 9th 2008 by CRC Press Advances in Intelligent Systems: Theory and Applications ISBN: 978-1-58603-043-8 Authors/editors: Mohammadian, M. Intelligent Agents for Telecommunications Applications ISBN: 978-90-5199-295-3 Authors/editors: Albayrak, S. Advances in Intelligent Systems ISBN: 978-90-5199-355-4 Authors/editors: Morabito, C.F.
- 10. Journals Journal of AmbientIntelligence and Smart Environments ISSN: 1876-1364Ambient Intelligence and Smart Environments International Journal of Hybrid Intelligent Systems ISSN: 1448-5869Artificial Intelligence International Journal of Knowledge-Based and Intelligent Engineering Systems ISSN: 1327-2314Artificial Intelligence Intelligent Data Analysis ISSN: 1088-467XArtificial Intelligence
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