Information Selection Efficiency in Networks: A Neurocognitive-Founded Agent-Based Model

Vié, Aymeric

doi:10.1007/978-981-13-8319-9_2

Cited by 2 publications

(2 citation statements)

References 29 publications

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“…We analyze how the activation of different modules, or combinations in the Agent Zero framework, impacts how environmental awareness arise. As significant differences arise, as in other uses of this framework (Vié 2019), we suggest that this superposition of cognitive channels for decision-making is helpful for social simulation.…”

Section: Introductionmentioning

confidence: 83%

“…Recent applications of the Agent Zero framework by Vié (2019) emphasized the existence of the emergence of particular phenomena, in the case of opinion dynamics and information selection, that result from the combination of different modules. This work outlined that parameter effects vary in significance, sign and magnitude depending on the cognitive assumptions made on the population, showing the richness of the neurocognitive framework of Epstein (2014) and its ability to generate complex phenomena from few simple individual rules (Epstein 2006).…”

Section: Discussionmentioning

confidence: 99%

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Staring at the Abyss: a neurocognitive grounded agent-based model of collective-risk social dilemma under the threat of environmental disaster

Liuzzi

Vié

2022

J Econ Interact Coord

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Increasingly visible climate change consequences challenge carbon-based economies worldwide. While expert knowledge on climate change percolates through political initiatives and public awareness, its translation into large-scale policy actions appears limited. Climate change consequences unequally target regions, countries and social classes, a vital issue for social cooperation. When facing an imminent ecological collapse, in which conditions can self-interested agents gain environmental awareness and settle on a sustainable path of actions when their knowledge of the imminent collapse is bounded? This cooperation emerges from the interaction between individuals and the interaction of various cognitive processes within individuals. This article develops an agent-based model for this emergence of cooperation enriched with the Agent Zero neurocognitive grounded cognitive architecture. We investigate when agents endowed with deliberative, affective and social modules can settle on actions that safeguard their environment through numerical simulations. Our results show that cooperation on sustainable actions is the strongest when the system is at the edge of collapse. Policy measures that increase the environment’s resilience become internalized by the agents and undermine awareness of the ecological catastrophe. Depending on the cognitive channels activated, agent behaviors and reactions to specific interventions significantly vary. Our analysis suggests that taking different cognitive channels, deliberative, affective, social, and others into account, significantly impact results. The complexity of agent cognition deserves more attention to assess parameter sensitivity in social simulation models.

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Section: Introductionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 99%

Staring at the Abyss: a neurocognitive grounded agent-based model of collective-risk social dilemma under the threat of environmental disaster

Liuzzi

Vié

2022

J Econ Interact Coord

Self Cite

View full text Add to dashboard Cite

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On the dynamics of expectations, uncertainty and economic growth: an empirical analysis for the case of Uruguay

Brida

Lanzilotta

Rosich³

2022

IJOEM

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PurposeFrom these data, the authors construct an uncertainty index through the use of a vector autoregressive (VAR) model to measure the impact of uncertainty on GDP, controlling for inflation, which may affect macroeconomic performance. Results indicate that uncertainty is negatively correlated with the economic cycle and the inter-annual variation of the biannual average product.Design/methodology/approachThis study empirically explores the dynamics of expectations of the Uruguayan manufacturing firms about industrial economic growth. This study explores the dynamics of the industrial economic growth expectations of Uruguayan manufacturing firms. The empirical research is based on firms' expectations data collected through a monthly survey carried out by the Chamber of Industries of Uruguay (CIU) in 2003–2018.FindingsGranger causality tests show that uncertainty Granger-causes industrial production growth and a one standard deviation shock on uncertainty generates a contraction in the industrial production growth rate. Finally, the authors use statistical and network tools to identify groups of firms with similar performance on expectations. Results show that higher uncertainty is associated with smaller, more interconnected groups of firms, and that the number of homogeneous groups and the distance between groups increases with uncertainty. These findings suggest that policies focused on the coordination of expectations can lead to the development of stable opinion groups.Originality/valueThe paper introduces new data and new methodologies to analyze the dynamics of expectations of manufacturing firms about industrial economic growth.HighlightsAn empirical approach to compare expectations of firms is introduced.The occurrence of groups of opinion is tested.Central companies in the network of expectations are detected.More uncertainty implies a higher degree of discrepancy between the overall firm’s opinions and more compact opinion groups.

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Information Selection Efficiency in Networks: A Neurocognitive-Founded Agent-Based Model

Cited by 2 publications

References 29 publications

Staring at the Abyss: a neurocognitive grounded agent-based model of collective-risk social dilemma under the threat of environmental disaster

Staring at the Abyss: a neurocognitive grounded agent-based model of collective-risk social dilemma under the threat of environmental disaster

On the dynamics of expectations, uncertainty and economic growth: an empirical analysis for the case of Uruguay

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