Overcoming limits to learning in computer-based learning environments

Article Abstract:

Action science theories are applied to computer-based learning environments (CBLE) to identify and solve anti-learning problems that hinder CBLE effectiveness. Because CBLEs use double-loop learning, anti-learning problems are more likely to be encountered. However, CBLEs can be redesigned to improve individual and team learning and application of such learning to real situations by providing managers and management teams with a venue for conceptualization, experimentation and reflection in the decision making process.

Decision-making, Decision making, Analysis, Software, Computer-based training, Computer based training, Management games

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Some problems with the design of self-learning open-loop control systems

Article Abstract:

Traditional closed-loop control systems for complex objects are limited by the inevitable obsoleteness of human expertise for their control. A combination of an open-loop system with self-learning generates partial solutions for such human constraints. The open-loop approach is considered in the case of a telecommunications network with multiple inputs and outputs. The system exhibited the capacity to optimize control reaction time and control quality.

Set theory, Fuzzy sets, Ring networks, Control systems, Token ring networks

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Optimal television schedules in alternative competitive environments

Article Abstract:

Network-television-scheduling problems were formed as integer programs under three distinct competitive environments, namely myopic, Nash competitive and cooperative. It was established that there are considerable gains to maximization and that those gains are not greatly reduced by competition. A regression was developed to predict show-part ratings for each of the likely days and time slots.

Television Broadcasting, Television broadcasting stations, TV Networks, Television broadcasting industry, Television programs, Television networks, Regression analysis

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