## 3 Results
### Data Organization in Representative Mission Example (PoC in CMSS): 1 st Meth  
The available information for the needs of the aforementioned representative mission example has been organized systematically before entering the system by aligning with the mission objectives. Methodology \"1\" optimally fits with \"4\" (teleological structure) in order to support complex missions. Applying the algorithmic process for classification (as described in Section 2.5.3), we obtain:  
* _Mission overview:_ objective \"1\"--transport of classified documents from point \"1\" to \"3\" with a police vehicle (actor \"1\") and objective \"2\"--transport of a patient from point \"1\" to \"2\" with an ambulance (actor \"2\"). * _Step-by-step application of algorithmic process for classification._  
1. _Step 1:_ Enter thematic information in the system, i.e., objective \"1\"--classified document transportation, classify under theme \"security for documents\"; objective \"2\"--patient transportation, classify under theme \"medical emergency for the patient\". 2. _Step 2:_ _Categorize information_ by inputting in the system and creating thematic directories. For the present representative mission, an example could be security and medical, immediate transport requirement, potential delays, geographic points \"1\", \"2\", \"3\", assess routes and distances, etc. 3. _Step 3:_ _See additional operational information_, i.e., traffic conditions, route security, medical facilities en route, availability of resources: police and medical personnel, etc. 4. _Step 4:_ _Explore alternative information sources_, i.e., if route information is lacking, check local news, traffic apps, community alerts, etc. If direct contact with a hospital is impossible, check regional health databases, etc. 5. _Step 5:_ _Source information from appropriate channels_, i.e., use police networks for security information, hospital records, and emergency services for medical information, etc. 6. _Step 6:_ _Adjust mission objectives if necessary_, i.e., if certain routes are blocked or unsafe consider alternative paths, if the nearest hospital is not available find the next closest one. 7. _Step 7 (if step 6 does not work): Iterate to find equivalent information_, i.e., reevaluate routes and available facilities to find new information based on real-time input data. 8. _Step 8 (if step 7 does not work):_ _Adapt mission's objectives further_, i.e., if continuous obstacles arise, try to adapt the mission's objectives based on urgency and time constraints. Prioritize one of the two missions based on the aforementioned criteria and consider additional criteria such as the departure and arrival times, resource allocation, etc. 9. _Step 9:_ _Repeat iteratively (i.e., go to step 1)_, namely, reassess mission objectives, ensuring that each adjustment brings the mission closer to an achievable outcome, by simultaneously correlating the information needed to the adjusted mission objectives. Figure 12: Representative example of a transport mission in CMSS. The data organization technique, as outlined in the representative mission example, offers distinct benefits both from the perspective of the actionable actors involved in the mission and from the standpoint of design engineers of the system. The benefits for actionable actors in the mission are as follows: Firstly, decision making is enhanced, since actors receive well-categorized, relevant information that aids in making informed decisions quickly, which is crucial in time-sensitive missions. Secondly, efficient resource allocation is provided by the clear thematic categorization, e.g., security and medical, which allows specialists to effectively allocate resources (personnel, vehicles, etc.) based on the mission's specific needs. Thirdly, adaptability to changing conditions, due to the iterative process of updating and reassessing information, enables specialists to efficiently change circumstances, such as route alterations due to traffic or emergencies, etc.