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Some people had their genes modified before they were born, but they didn't know that ... A suspense case that changed the fate of a few young people. Was it the work of a freak of nature, or was it deliberate murder? In the search for the real culprit, they discovered the secret of the "uni" organization. A group of scientific weirdos, forming a group known as the "C", conducted the "Superman Project" experiment with the intention of improving the human genome to create the perfect person. The people who were entangled with fate, in order to explore the 'uni' organization, fell into a conspiracy that had been laid out for a long time. When they fought the 'uni', they realized that they were the ones who had been tested ... Victim!
With the ever-increasing usage of distance learning programs in academia, the need for well-designed automated systems has become vital to the success of open and distance education. Practical solutions should be discovered and disseminated to meet the software needs of instructors, academic researchers, and software engineers. System and Technology Advancements in Distance Learning meets this need, outlining computational methods, algorithms, implemented prototype systems, and applications of open and distance learning. It is targeted toward academic researchers and engineers who work with distance learning programs and software systems, as well as general participants of distance education.
“Intelligent systems must perform in order to be in demand. ” Intelligent systems technology is being applied steadily in solving many day-to-day problems. Each year the list of real-world deployed applications that inconspicuously host the results of research in the area grows considerably. These applications are having a significant impact in industrial operations, in financial circles, in transportation, in education, in medicine, in consumer products, in games and elsewhere. A set of selected papers presented at the seventeenth in the series of conferences on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2004), sponsored by the Interna...
Mobile agents refer to self-contained and identi?able computer programs that can move within the network and can act on behalf of the user or another entity. Most of the current research work on the mobile agent paradigm has two general goals: reduction of network traf?c and asynchronous interaction. These two goals stem directly from the desire to reduce information overload and to ef?ciently use network resources. There are certainly many motivations for the use of a mobile agent paradigm; h- ever, intelligent information retrieval, network and mobility management, and network services are currently the three most cited application targets for a mobile agent system. The aim of the workshop...
The two-volume set LNCS 15812-15813 constitutes the thoroughly refereed proceedings of the 7th International Conference on Adaptive Instructional Systems, AIS 2025, held as part of the 27th HCI International Conference on Human-Computer Interaction, HCII 2025, which took place in Gothenburg, Sweden, in June 2025. The total of 1430 papers and 355 posters included in the HCII 2025 proceedings was carefully reviewed and selected from 7972 submissions. The two volumes cover topics as follows: Part I: Adaptive Training and Education; Cognitive Modeling of Adaptive Instructional Systems; Part II: Adaptive and Personalized Learning; Emerging Technologies in Adaptive Instruction.
This volume aims to provide a collection of unique perspectives on the issues surrounding the management of information technology in organizations around the world and the ways in which these issues are addressed.
Designing Distributed Learning Environments with Intelligent Software Agents reports on the most recent advances in agent technologies for distributed learning. Chapters are devoted to the various aspects of intelligent software agents in distributed learning, including the methodological and technical issues on where and how intelligent agents can contribute to meeting distributed learning needs today and tomorrow. This book benefits the AI (artificial intelligence) and educational communities in their research and development, offering new and interesting research issues surrounding the development of distributed learning environments in the Semantic Web age. In addition, the ideas presented in the book are applicable to other domains such as Agent-Supported Web Services, distributed business process and resource integration, computer-supported collaborative work (CSCW) and e-Commerce.