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 “message objects” (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