On the Interplay of Interpersonal Synchrony, Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-adaptive Neural Agent Model

Becoming Attuned to Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioral Adaptivity

“…Simulation experiments were based on an experimental scenario, in which different stimuli for each of the two agents alternate over time independently and the same holds for periods in which communication is allowed. This work extends our previous work (Hendrikse et al 2022c) where time differences in the pathways toward the detector states from the own actions and sensing the actions of the other were assumed to be non-existent. In the current paper, we describe simulation experiments in which we varied the computations and sizes of these time lags.…”

“…To explain the relation between synchrony and behavioral adaptivity, in Hendrikse et al (2022c) subjective synchrony detector states were introduced and the pathways from these detector states to the behavioral adaptivity were explored in more detail. However, the pathways toward the detector states from the own actions and sensing the actions of the other were assumed to be simple.…”

“…Moreover, in Hendrikse et al (2022b) no behavioral adaptivity was covered, whereas in Hendrikse et al (2022a) another type of adaptivity was modeled, namely of internal connections from representations to preparations. As already mentioned above, in Hendrikse et al (2022c) also internal synchrony detector states were used, in that case with the focus on the induced behavioral adaptivity, thereby neglecting the differences in timing of the incoming signals to these detector states by implicitly assuming the sensing processes being synchronous. In contrast, the current paper explored different ways in which asynchronous sensing processes for subjective synchrony detection can be addressed computationally by considering time lags.…”