Planning as search: a quantitative approach
Artificial Intelligence
Decision analysis : a Bayesian approach
Decision analysis : a Bayesian approach
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Ant Colony Optimization
An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems
A computational model for multiple goals
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
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In [1] we have developed a computational model for multiple goals. The agent behaviour is organised in families of competing goals (plans) for determining priorities of execution. This paper extends the previous model by providing a method for executing complex plans consisting of a number of goals and/or other sub-plans. The various dependencies among goals/plans are analysed and a mechanism is suggested which provides additional voting to the priority of a component goal. For the class of independent goals it is possible to interleave sub-goals for achieving better performance. A number of simulation experiments are described and results indicate a more flexible behaviour. We conclude with a summary of findings and a discussion for future work.