2018 IEEE Conference on Decision and Control (CDC) 2018
DOI: 10.1109/cdc.2018.8619615
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Achieving a decision in antagonistic multi agent networks: frustration determines commitment strength

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Cited by 13 publications
(24 citation statements)
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“…Interpreted in the context of a government formation process, this relationship states that the duration of the govern- www.nature.com/scientificreports/ ment negotiation talks (a proxy of π 1 ) is directly proportional to the frustration of the parliamentary network, see "Methods". When the frustration increases, the model predicts that the bifurcation threshold increases as well (see 31 and also Supplementary Fig. 4), meaning that a higher commitment will be required from the agents in order to escape a state of no decision and to reach a collective nontrivial equilibrium point.…”
Section: Prediction Of the Successful Cabinet Coalition The Notion Omentioning
confidence: 95%
See 3 more Smart Citations
“…Interpreted in the context of a government formation process, this relationship states that the duration of the govern- www.nature.com/scientificreports/ ment negotiation talks (a proxy of π 1 ) is directly proportional to the frustration of the parliamentary network, see "Methods". When the frustration increases, the model predicts that the bifurcation threshold increases as well (see 31 and also Supplementary Fig. 4), meaning that a higher commitment will be required from the agents in order to escape a state of no decision and to reach a collective nontrivial equilibrium point.…”
Section: Prediction Of the Successful Cabinet Coalition The Notion Omentioning
confidence: 95%
“…Such models represent a decision as the trespassing of a bifurcation threshold, and the corresponding bifurcation parameter has the interpretation of "social commitment" of the agents, i.e., intensity of the interactions among the agents. In presence of signed graphs, it is known that the bifurcation threshold can be pushed to higher values of the bifurcation parameter, and in particular that its value is proportional to the frustration encoded in the signed network 31 . If we consider as decision a confidence vote on a candidate cabinet, and as "social commitment" the intensity of the government negotiation talks (quantified as duration of the bargaining phase), then in a multiagent dynamics perspective the positive correlation we find between frustration and duration of the government negotiation phase is an expected and reasonable property: more "disordered" parliaments require longer negotiations to form a government.…”
Section: Openmentioning
confidence: 99%
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“…They conclude that in the resulting n -strategy evolutionary games the analytical methods and numerical simulations indicate continuous order-disorder phase transitions when increasing the noise level if n does not exceed a threshold value. In Reference [ 29 ] authors have investigated how the frustration of a social network influences the appearance of nonzero equilibria as a function of a scalar parameter playing the role of social effort. In Reference [ 30 ] authors used the Lefebvre’s “algebra of conscience” to describe decision-making strategies of agents simulating people with different brain dominance.…”
Section: Related Workmentioning
confidence: 99%