In this article we present a hierarchical model for planning and coordinating firefighting in situations such as RoboCup Rescue, where an urban earthquake is simulated. We show that a hierarchical approach brings leverage to the planning process. By using formal decision theoretic models, we also present a more formal analysis of the RoboCup Rescue domain. Finally we discuss how our model could...

This work presents a neural network model for the clustering analysis of data based on Self Organizing Maps (SOM). The model evolves during the training stage towards a hierarchical structure according to the input requirements. The hierarchical structure symbolizes a specialization tool that provides refinements of the classification process. The structure behaves like a single map with differ...

Hierarchical task decomposition is a method used in many agent systems to organize agent knowledge. This work shows how the combination of a hierarchy and persistent assertions of knowledge can lead to difficulty in maintaining logical consistency in asserted knowledge. We explore the problematic consequences of persistent assumptions in the reasoning process and introduce novel potential solut...

according to the limit of resources in the subject of prioritization, one of the alternative methods is mcdm method. generally, mcdm models have been developed under certainty while we confront with under uncertainty in real world. in hierarchical mcdm methods, one of the main steps is to weigh criteria and computes each alternative weight using defined criteria in the next steps. one of the ea...

Decision making can present a considerable amount of complexity in competitive environments; where methods that support possess great relevance. The article presents an extension the Hierarchic Analytical Process; complemented with Personal Construct Theory, which purpose is to reduce ambiguity when defining and establishing values for criteria determined problem. In recent years, scope decisio...