## 3 Results: AGA Logic Variables for Scene Description and Dialog Communications
### Communication Module and the Dialog Protocol
It needed 100 microassembler operators per six content logic variables in the LLWRD program for MCS-51. Subroutine CHKPHR has demonstrated the possibility of finding correct content parts of dialog logic phrase for the given header part of phrase. Microassembler modeling was held for the allocated 8-bit dual-chip microcontroller module used earlier in [54,55] for AGA-based LL design. The cascaded scheme of two such dual-chip modules is proposed to be the platform for further design of verification procedures in the communication module of agents. The quite specific logic calculus of AGA can be easily applied in various verification procedures and phrase protocols, even in simple 8-bit microcontroller platforms. Carried-out microassembler designs are close to AI tasks, typical for devices of IoT level, and provide simple-enough programming. Also, they can be combined with earlier published algorithms and software [54,55,60] for the calculations of AGA functions and the base LL scheme. For practical applications of the designed method, one can use adapted LL and AGA-based phrase protocols in two ways. One way here is to add the presented original software and verification schemes as a subroutine into a microcontroller platform, emulating basic Boolean algorithms. This scheme does not require specific AI software and can run even on a quite routine 8-bit microcontroller circuit board, or preferably on the dual-chip platform. Necessary software demonstrates comparatively short programs (\(\approx\)100 operators). Also, using this software, one can estimate the possible number of operators for data sets planned to be documented in LL. The above-proposed vocabulary structure is the tool used here to define the correct mapping between AGA variables and Boolean ones in the user's practical task. The limitation here is only the one-to-one mapping. Another way for practical applications is to sequentially accumulate AGA algorithms for various procedures; in fact, this method corresponds to the AGA research reviewed in Section 1.4. The proposed above-mentioned adapted LL scheme can be used without obligatory AGA phrase protocol. Together with versions given in [54,55], it can be modified by the user for actual verification tasks and specific data sets, adjusting the number of variables and approving quasi-random hash values. In fact, the heterogeneous logic architecture of agents [53] does not exclude the integration of AGA components into systems with traditional Boolean platforms, and the design of the vocabulary structure can help to define the correct mutual mapping of parameters for two subsystems. However, AGA-based LL seems to be especially actual for verification in microcontroller platforms, involving alternative data channels (e.g., optoelectronic or even quantum ones). If all data come through the unreliable Internet channel, that prevents the transfer of true verification data and reduces the income from advanced verification procedures. The expected advantages of AGA models are the simplicity of design of large multi-parametrical space and the possibility to describe large-scale systems by means of simple logic expressions. These properties need approbation for a setup model task where a full-scale AGA communication module is used to control hardware agents and large-scale data systems. But this task firstly needs to design the AGA decision-making module and to combine it with the communication ones. Another expected useful property of AGA is the possibility to obtain short-enough programs for AI tasks, where the proper choice of variables' structure significantly simplifies the programming. It is necessary further to compare purely AGA software with, e.g., some product taken from open Arduino libraries. One more substantial aspect of AGA which was not discussed in this paper, but which was commented on in [68; 69; 75], is the ease of parallelization of processing. Real gains in run times can be estimated after the test integration of AGA agent with known commercial platforms and controllers.