Modelling Operational Decision-Making in Agriculture

Decision- Making and Agriculture

Modelling Human Decision-making

A series of projects have been, and are being, performed, that look at modelling human decision-making in simulations. The focus is on using a simulation to elicit knowledge about human decision-making. Artificial intelligence methods are then used to learn the humans’ decision-making strategies. By linking the trained artificial intelligence system with the simulation, it is possible to assess...

Modelling Decentralised Decision Making

A set of agents t human or computer process} tire supposed lO dec~dc on an action given z, lmite set of possible straleglc., when the background inl’t~rnl:~titm is vague or numerically imprecise. The agents evaluate the stralegie.~ :rod communicate their opinions aboul their utdities, their opinion.’, about the credibilities of the reports of the other agents. :is well a.,, their opinions of th...

Operational Knowledge Representation for Practical Decision Making

In various industrial fields, the operators use predesigned procedures either to solve problems or for troubleshooting. In the Parisian subway, such procedures exist since 1900. However, these procedures are not always exactly suited to the case at hand, and the operators generally prefer to customize a solution than to rely on fixed procedures. For the design of an “intelligent” assistant syst...

Operational Research Approach to Decision Making

The decision making (DM) problem is of great practical value in many areas of human activities. Most widely used DM methods are based on probabilistic approaches. The well-known Bayesian theorem for a conditional probability density function (PDF) is a background for such techniques. It is needed due to some uncertainty in many parameters entered in any model which describes the functioning of ...