The diversification of action perspectives comes as a response to the changing environments and entails continuously combining the available information in new ways and efficiently using the resources by valorising the relevant information. Applying the concepts of EBO (Effects-Based Operations) and KM (Knowledge Management) to such environments implies a detailed analysis of the interaction between systems, between the nodes of a system as well as between the communicating agents within a node. A collection of data is not information; a collection of information is not knowledge. The fuel that powers the EBO concept and its associated planning cycle is knowledge. Applying EBO from the KM perspective means accomplishing and reinforcing the cycle – observe-acquire-decide-act – by activating the agents from the three domains: physical, information and cognitive. From the KM perspective, the physical domain is characterized by technology's high capacity to observe and analyze the environment, the information domain by the capacity to process information, the cognitive domain by agents' capability to extract the relevant information from the processed data and to make the optimal decision. The paper advances a model of analysis and organizational design from the perspective of applying the concepts of EBO and KM. The key element is interaction which at node level means acquiring, disseminating, using, accessing and sharing data among communicating agents, at system level, connecting the system nodes, i.e. achieving the information cycle, whereas at system of systems level, providing cohesion, i.e. generating knowledge. Interaction is related mainly to the information domain. All gain in knowledge depends upon communicating agents' capacity to understand and process information. Precision and information processing speed are given by the expertise of communicating agents (Levchuk 2001). From this point of view, harmonizing the agent with high generalization capabilities with those with high specialization capabilities leads to maximum effects in complex and diverse situations. Information relevance in the decisionmaking process should be considered not only in terms of information quality (absolute value) but also in terms of agents' processing capability. Information processing by agents implies a correspondence between the information format and agents' expertise and level of understanding. In this respect, agents' processing capability influences how the information available in a node is turned into relevant information for the decision making process. Knowledge means extracting the right and relevant information from a wide variety of information, sending it to the right person capable of making the decision, at the right time and without distortions. Therefore, interaction in the information domain represents the link between those who observe and collect the environmental changes, i.e. those who know and those who need these data, i.e. those who need to know, in order to generate situational awareness. To conclude, the paper will offer an instrument for the assessment, evaluation and adaptation of tasks in the information domain between knowledge-in-depth agents and knowledge-in width agents in order to optimize the information flow between cognitive and physical domains. This approach gives sense to information processing by extracting the relevant information from the environment for optimal decision. [ABSTRACT FROM AUTHOR]