Cognitive Models for Adaptive Monitoring System

The transition towards new approaches to water resources management to deal with complexity demands changes in the role of information in decision-making. These approaches proceed from the premise that policies can be treated as experiments in which monitoring outcomes are evaluated to judge what has been learned. Thus monitoring becomes increasingly important for learning about the system and assessing management strategies along with modelling and other knowledge exploring techniques. To play this important role in water management, novel and integrated monitoring systems are required to support both the learning and decision making processes. In this paper a methodology to support the design of monitoring system for water management in the age of complexity has been described. The methodology is based on the integration between problem structuring methods and fuzzy logic to collect and structure the knowledge of experts and stakeholders.