Agent-Based Simulation of Organizational Behavior 2016
DOI: 10.1007/978-3-319-18153-0_12
|View full text |Cite
|
Sign up to set email alerts
|

Towards Nonlocal Field-Like Social Interactions: Oscillating Agent Based Conceptual and Simulation Framework

Abstract: This chapter takes a multidisciplinary perspective to examine a fundamentally novel approach to the agency and field-based nonlocal organization of digitally interconnected social systems. The main theoretical cornerstone of the new modeling approach (OSIMAS-oscillation-based multi-agent system) is built on the premises of an agent as a coherent system of oscillations. In our approach, the theoretical assumptions of the oscillating agent model are backed up with experimental brain-imaging studies inspired by c… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2016
2016
2020
2020

Publication Types

Select...
2
1
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 56 publications
0
1
0
Order By: Relevance
“…Instead, a single phase relation x realized e.g. by a temporal delay between the corresponding neuronal oscillation modes [17,121,18] has to be Semantic stability as triadic feature Regularities extracted from the data by the model above are not encountered when decision probabilities p a , p b , p c (Table 1) are analyzed in pairs. For example, stable relation between cognitive representations |Ψ a and |Ψ c dening decision probabilities in contexts a and c (Figure 6) cannot be established from values p a and p c (Table 1) which show practically no correlation with R 2 ≈ 0.18.…”
Section: Semantic Stability and Behavioral Variabilitymentioning
confidence: 99%
“…Instead, a single phase relation x realized e.g. by a temporal delay between the corresponding neuronal oscillation modes [17,121,18] has to be Semantic stability as triadic feature Regularities extracted from the data by the model above are not encountered when decision probabilities p a , p b , p c (Table 1) are analyzed in pairs. For example, stable relation between cognitive representations |Ψ a and |Ψ c dening decision probabilities in contexts a and c (Figure 6) cannot be established from values p a and p c (Table 1) which show practically no correlation with R 2 ≈ 0.18.…”
Section: Semantic Stability and Behavioral Variabilitymentioning
confidence: 99%