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