ruleViz : visualization of large rule sets and composite events

Event Condition Action rule engines have been developed for some time now. Theycan respond automatically to events coming from different sources. Combination ofdifferent event types may be different from time to time and there for it is hard todetermine how the rule engine executes its rules. Especially when the engine is givena large rule set to work with. To determine the behavior is to run tests on the ruleengine and see the final results, but if the results are wrong it can be hard to see whatwent wrong. ruleViz is a program that can look at the execution and visually animatethe rule engine behavior by showing connections between rules and composite events,making it easier for the operator to see what causes the fault. ruleViz is designed toembrace Human Computer Interaction (HCI) methods, making its interfaceunderstandable and easy to operate

Navigating in a dynamic world : Predicting the movements of others

The human brain is always trying to predict ahead in time. Many say that it is possible to take actions only based on internal simulations of the brain. A recent trend in the field of Artificial Intelligence is to provide agents with an “inner world” or internal simulations. This inner world can then be used instead of the real world, making it possible to operate without any inputs from the real world. This final year project explores the possibility to navigate collision-free in a dynamic environment, using only internal simulation of sensor input instead of real input. Three scenarios will be presented that show how internal simulation operates in a dynamic environment. The results show that it is possible to navigate entirely based on predictions without a collision