Abstract
Collective Decision-Making Models (henceforth CDMM) are mathematically deterministic formulations (i.e. without probabilistic inputs or outputs) aimed at explaining the behaviour of individuals in dynamic negotiations given any number of issues, in which the participants attempt to influence the outcome of a final and binding decision. Albeit different CDMM have produced acceptable predictions to actual final collective outcomes, both the data collection process and the interpretation of CDMM results require attention to the rather strict underlying assumptions in each of these models. Our contribution is thus twofold: (I) replication for systematic testing of the Challenge and Exchange CDMM assumptions, along with their requirements consisting of the Compromise, Mean and Median models, using an agent-based framework; and (II) insights gained from these tests regarding the dynamics of CDMM runs and their combinations using input from three datasets.
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Notes
- 1.
Initial position is also referred to as “preferred or voting position”, per issue.
- 2.
Salience is also referred to as one’s “importance attached to”, per issue.
- 3.
Power is also referred to in the literature as one’s “resources” or “capabilities”, being immutable across issues and potentially mobilised by the agent in question, per issue.
References
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Lucas, P., Payne, D. (2013). Integrating Collective Decision-Making Models and Agent-Based Simulation. In: Gilbert, T., Kirkilionis, M., Nicolis, G. (eds) Proceedings of the European Conference on Complex Systems 2012. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-00395-5_51
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DOI: https://doi.org/10.1007/978-3-319-00395-5_51
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