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BRAIN Journal-Brain-Like Artificial Intelligence for Automation-Figure 13. Implementation of Neuro-Symbols and their Communication in AnyLogic

<p>Figure 13 and Figure 14 show screenshots of the model implementation in AnyLogic. Figure<br> 13a shows how individual neuro-symbols were implemented. Neuro-symbols are realized by socalled<br> active objects with an input port and an output port via which information is exchanged with<br> other elements. Additionally, variables are used for calculating the activation of the neuro-symbols<br> (not depicted) and for storing properties of neuro-symbols (e.g., the location property). Timers and<br> state charts serve for processing information that arrives in a certain time window or in a certain<br> temporal succession at the input port. Whenever new input information arrives at the input port, the<br> activation degree of the neuro-symbol is recalculated and checked against the threshold value.<br> Based on this, the neuro-symbol is either activated or deactivated and the corresponding<br> information is sent via the output port by using &ldquo;message objects&rdquo; (see Figure 13b).</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

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