In order to efficiently support forest planning systems, multi-agent systems must follow the structural guidelines as proposed by forest management. Operationalized, the framework supports recursively structured multi-agent systems, in which the behaviors of planning, scheduling and execution can be found in every multi-agent system. Thus, a behavior determines an agent's entire action selection, denoted also as capabilities.
The advanced level of dynamic conduct as a source for building multi-criteria decision making in forest planning is supported in a way that agents feature multiple levels of adaptation. Owing to the multi-level unified process, robustness can be gained by satisfying uncertainty. In order to maintain the system's consistency, the adjustment of agents' variety is brought about by the introduction of constraint blocks, so called Object Constraint Language (OCL) to be respected by them. The information base of agents is embodied by their knowledge bases and internal models.
Additionally, a note has been made between problem solving agents (management agents) and decision-supporting agents (service agents). Multi-agent systems containing management agents are being developed on the coordination level and are subject to performance assessments regarding their organizational structure. The primary reason for the introduction of the coordination level is not the analysis of algorithmic competence, but rather to examine its utilization by problem solving agents.
The conceptual development of agents is technically backed up by an implementation based on an active object approach, which allows agents communication and process autonomy. The conceptual separation of the three modeling levels is technically supported as well. However, agents must interfere on the deliberative level. Mediators or Agent Request Brokers as special types of service agents can encapsulate objects on the deliberative level. As a result, the mediators are able to redirect the information flow to managerial agents, which was originally connecting the objects on the deliberative level. Thus, these agents are, among other things, able to allocate resources differently than originally planned.