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Full-Text Articles in Physical Sciences and Mathematics
A Dynamic Information Generation Approach For He: Ig3 Characteristics, Jeffrey Barker, K. Sabry
A Dynamic Information Generation Approach For He: Ig3 Characteristics, Jeffrey Barker, K. Sabry
Jeffrey Barker
This paper proposes the integration of Information Generation 3 (IG3) principles to education systems to advance curriculum and instruction from traditional static designs to build dynamic learning communities and courses in higher education. Dynamic information should stimulate and support methodological flexibility for converging learner-centred and knowledge-centred education environments. This convergence is achieved through a complex mix of connected digital devices and pedagogical methods proven effective by any number of learning theories. Flexibility and diversity are important principles in the IG3 approach to permit the application of multiple scalable digital communication tools, teaching methods and decision-making to advance this new direction. …
Real-Time Business Intelligence In Multi-Agent Adaptive Supply Networks, Gavin Finnie, Jeffrey Barker
Real-Time Business Intelligence In Multi-Agent Adaptive Supply Networks, Gavin Finnie, Jeffrey Barker
Jeffrey Barker
The increasing speed and complexity of inter-organisational communication in supply networks requires effective automation. Multi-agent systems have been proposed as a possible solution. However, the information needs of the agent, particularly in responding to any variation from the norm, are similar to a human in the same position.
This paper reviews the concepts of Business Intelligence (BI) and Real-Time Enterprises (RTE) and looks at the need for BI in dynamic information management. A multi-agent framework is described and case-based reasoning investigated as a reasoning paradigm capable of responding to the need for business intelligence. A CBR approach is proposed with …
Adaptive Agents For Supply Networks, Gavin Finnie, Jeffrey Barker
Adaptive Agents For Supply Networks, Gavin Finnie, Jeffrey Barker
Jeffrey Barker
Dynamic information flow in esupply networks requires that buyers and suppliers have the ability to react rapidly when needed. Using intelligent agents to automate the process of buyer/seller interaction has been proposed by a number of researchers. One problem in providing intelligent automated collaboration is incorporating learning capability i.e. an agent should be capable of adapting its behaviour as conditions change. This paper proposes a scalable multi-agent system which uses case-based reasoning as a framework for at least part of its intelligence. Tests with a simulated system show that such an agent is capable of learning the best supplier and …