Today’s armed forces, which have a new perspective of combat, are trying to use high-end technologies to improve their capabilities especially in combat and asymmetric warfare. Complexity is the real word to define the future war environment, which will need information about multi dimensional needs. With a continuous increase in the complexity and tempo on the modern battlefield; new demands are placed on rapid and precise information dissemination. The volume of information available to the user becomes larger while the time necessary for correctly interpreting and understanding this information becomes prohibitively smaller. Not only from an informational view but also from other perspectives land combat may be described – mathematically and physically – as a nonlinear dynamical system composed of many interacting semi autonomous and hierarchically organized agent continuously adapting to a changing environment. From this point of view agent based structures are good suited for modeling and simulating complex adaptive systems. This paper proposes a two layer hybrid agent architecture to match the needs of future multi-dimensional warfare. This architecture has an integrated simulation tool to simulate planning results from the cognitive layer via reactive agents. Our work showed us that results gained from this architecture are valid in small unit combat.