# Multiple-Valued Logic Modelling for Agents Controlled via Optical Networks
## 3 Results
### Discussion of Prospectives for Further Research of AGA Functions  
Modern fiber optics networks provide a possibility to transfer large volumes of digital information to distant nodes, and QKD schemes enhance the protection level for data transfer channels, which creates new possibilities for massive distant control of robotic MASs. However, there are currently no ready and well-formed concepts to provide reliable autonomous monitoring and self-restoration of a MAS in case of attacks and breakdowns. That is why there are several actual tasks to continue the MVL designs presented above.  
The logically linked list for a distributed ledger proposed above can be further used as a simple scheme for backup storage, aimed at autonomous verification and restoration of valuable and critical data for distant agents. AGA models are attractive here due to their ability to form correct multiparametrical logic expressions for arbitrary sets of parameters. They can combine parameters of classical and quantum lines for collective verification using quantum keys, RO, and \"bit commitment schemes\".  
For future robotic system tasks, data concerning rent, repairs, and licenses for a small-scale MAS seems to be not confidential, but technical schemes of objects, prehistory of the agent's work represented by terrestrial maps, biometrics keys, verification digital schemes, and images need additional secret coding. The simplest way here is to use the encapsulation of an additional protocol into a standard one, and the AGA analog of OTP secret coding scheme [31] can potentially be adapted for the large number of truth levels in a ledger.  
The proposed schemes of a logic-linked list of entries and distributed logic ledger allow the formal logic scheme to design a vaster model of trust for the interaction of agents with other ones and network nodes. The time-attributed model of linking entries, necessary for the quantum protocol PU and other classical verification schemes, principally can be extended from space coordinates to other variables. A multi-stage procedure resembling a Merkle tree in the BC [37; 38; 39] can be used here based on the same random hash functions as for RO-based schemes [22]. Estimations of trust parameters can be gathered in a separate AGA function, which can be used the same as the MVL classification scheme proposed earlier [30] for decision making.  
As noise models for fiber optics systems [84] can now involve independent trust estimates, more detailed schemes for the integration of such models into robotic agents are interesting for more efficient control of fiber optics networks. Verification schemes with enhanced trust models can also describe pairs of bot-hardware agents, where the software bot is used as a \"deputy admin\" at a distant MAS.  
The task to protect memory storage in unmanned network robots from illegal modifications may be considered further as the creation of self-sustained robotic \"collaborative media\" for the partner interaction of inexpensive small-scale robotic systems, providing individual and collective verification, approval, and restoration of data. Unfortunately, a trusted server is too expensive of a way for mass MASs. Then, a set of small distant backups with branched addressing of entries, muddy structure, and additional secret coding can be the alternative, thus extending the trend for collective interaction of agents, demonstrated by IoV, IoT, BC, and smart grids.  
Experiments for MVL models are reasonably based on the unified structure of short instructions at RISC-V platforms [89], which are interesting for the design of RO versions based on known versions of the SHA256 cryptography hashing function and QRNG.  
Conjugation with computer vision systems and neural networks for autonomous agents are considered as the obligatory step for the realization of unmanned robots without trusted server control. That is why the route verification scheme [32; 79] is only a preliminary attempt to work out schemes for the integration of quantum verification schemes with digital images.