Using Norm Emergence in Addressing the Tragedy of the Commons

Dascalu, Sorin; Scurtu, Tudor; Urzica, Andreea; Trăşcău, Mihai; Florea, Adina Magda

doi:10.1007/978-3-642-40495-5_17

Cited by 2 publications

(4 citation statements)

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“…• As a first approximation, fish do not travel from one area to the other. 5 • The fish population within any area cannot exceed a carrying capacity K i , which is the maximal population that can be present within an area in the absence of fishing. This carrying capacity is the same for all areas, as we have taken all of them to be equivalent.…”

Section: A Simple Modelmentioning

confidence: 99%

“…The actors follow simple rules but their interaction can produce interesting dynamics. A related approach by computer scientists [5] suggested that the result might be that of a uniform distribution across the space in which the resource is found. We show that, depending on the weight given to the behaviour of others, vessels can typically operate near to their home port with occasional excursions to another area, but that changing the parameters of the model can lead to a persistent mixing of the two fleets with some boats from each area fishing in the other area.…”

Section: Introductionmentioning

confidence: 99%

“…Without changing our main conclusions, one could also allow for noise by drawing c i (t) from a given distribution centred about β m i (t)/N . This would allow us to introduce randomness into the fishing efficiency of each trawler, an interesting extension that we leave for further work 5. This constraint can be easily relaxed by e.g.…”

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confidence: 99%

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From Ants to Fishing Vessels: A Simple Model for Herding and Exploitation of Finite Resources

Morán¹,

Fosset²,

Kirman³

et al. 2020

Preprint

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We analyse the dynamics of fishing vessels with different home ports in an area where these vessels, in choosing where to fish, are influenced by their own experience in the past and by their current observation of the locations of other vessels in the fleet. Empirical data from the boats near Ancona and Pescara shows stylized statistical properties that are reminiscent of Kirman and Föllmer's ant recruitment model, although with two ant colonies represented by the two ports. From the point of view of a fisherman, the two fishing areas are not equally attractive, and he tends to prefer the one closer to where he is based. This piece of evidence led us to extend the original ants model to a situation with two asymmetric zones and finite resources. We show that, in the mean-field regime, our model exhibits the same properties as the empirical data. We obtain a phase diagram that separates high and low herding regimes, but also fish population extinction. Our analysis may have interesting policy implications for the ecology of fishing areas.

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Section: A Simple Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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From Ants to Fishing Vessels: A Simple Model for Herding and Exploitation of Finite Resources

Morán¹,

Fosset²,

Kirman³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Norm emergence or convergence is widely accepted to have happened, or a norm is said to have emerged, when a predetermined percentage of the population observes the Balaraman and Singh [13] Beheshti and Sukthankar [16] Beheshti et al [17] Bench-Capon and Modgil [18] Boissier et al [22] Boella and van der Torre [20] Boella and van der Torre [19] Boyd and Richerson [23] Broersen et al [24] Brooks et al [25] Campos et al [26] Chakrabarti and Basu [28] Chao Yu et al [29] Cliffe et al [31] Conte and Castelfranchi [32] Criado et al [35] Dascalu et al [37] Dastani and van der Torre [38] dos Santos Neto et al [41] Franks et al [42] Frantz et al [43] Ghorbani et al [48] Ghorbani and Bravo [46] Hoffmann [55] Hofmann et al [56] Hassani-Mahmooei and Parris [53] Hao and Leung [49] Hao et al [50] Hao et al [51] Hao et al [52] Hu and Leung [57] Hübner et al [58] Lopez [65] Lotzmann et al [66] Lee et al [61] Mahmoud et al [67] Mashayekhi et al [68] Mukherjee et al [75] Mungovan et al [76] Morales et al [70] Morales et al [72] Morales et al [71] Mor...…”

Section: Norm Emergencementioning

confidence: 99%

Norm emergence in multiagent systems: a viewpoint paper

Morris-Martin

Vos

Padget

2019

Auton Agent Multi-Agent Syst

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Norms are utilised in agent societies to encourage acceptable behaviour by the participating agents. They can be established or revised from the top-down (authority) or from the bottom-up (populace). The study of norm creation from the bottom-up-or norm emergence/convergence-shows evidence of increasing activity. In consequence, we seek to analyse and categorize the approaches proposed in the literature for facilitating norm emergence. This paper makes three contributions to the study of norm emergence. Firstly, we present the different perspectives of norms and their impact on the norm emergence process, with the aim of comparing their similarities and differences in implementing the norm life cycle. Secondly, we identify the characteristics that support norm emergence that are observed in the emergence literature. Finally, we identify and propose future topics for study for the community, through a discussion of the challenges and opportunities in norm emergence.

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Using Norm Emergence in Addressing the Tragedy of the Commons

Cited by 2 publications

References 4 publications

From Ants to Fishing Vessels: A Simple Model for Herding and Exploitation of Finite Resources

From Ants to Fishing Vessels: A Simple Model for Herding and Exploitation of Finite Resources

Norm emergence in multiagent systems: a viewpoint paper

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