Conformity-driven agents support ordered phases in the spatial public goods game

Javarone, Marco Alberto; Antonioni, Alberto; Caravelli, Francesco

doi:10.1209/0295-5075/114/38001

Cited by 61 publications

(38 citation statements)

References 41 publications

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“…Lately, the significance of conformists has been analyzed in the spatial public goods game, but only in the spirit of quenched disorder so that individuals could not change their attitude [39]. It turns out that social influence may cause different system behavior, leading to full cooperation or bistable equilibria.…”

Section: Person Vs Situation Approach In Models Of Binary Opinion Dymentioning

confidence: 99%

Person-Situation Debate Revisited: Phase Transitions with Quenched and Annealed Disorders

Jędrzejewski

Sznajd-Weron

2017

Entropy

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Abstract:We study the q-voter model driven by stochastic noise arising from one out of two types of nonconformity: anticonformity or independence. We compare two approaches that were inspired by the famous psychological controversy known as the person-situation debate. We relate the person approach with the quenched disorder and the situation approach with the annealed disorder, and investigate how these two approaches influence order-disorder phase transitions observed in the q-voter model with noise. We show that under a quenched disorder, differences between models with independence and anticonformity are weaker and only quantitative. In contrast, annealing has a much more profound impact on the system and leads to qualitative differences between models on a macroscopic level. Furthermore, only under an annealed disorder may the discontinuous phase transitions appear. It seems that freezing the agents' behavior at the beginning of simulation-introducing quenched disorder-supports second-order phase transitions, whereas allowing agents to reverse their attitude in time-incorporating annealed disorder-supports discontinuous ones. We show that anticonformity is insensitive to the type of disorder, and in all cases it gives the same result. We precede our study with a short insight from statistical physics into annealed vs. quenched disorder and a brief review of these two approaches in models of opinion dynamics.

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Section: Person Vs Situation Approach In Models Of Binary Opinion Dymentioning

confidence: 99%

Person-Situation Debate Revisited: Phase Transitions with Quenched and Annealed Disorders

Jędrzejewski

Sznajd-Weron

2017

Entropy

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“…Although the present example draws on spatial evolutionary games and should be of interest to contemporary statistical physics research on the subject [48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63], the concept of stability of subsystem solutions in agent-based models goes far beyond disciplinary boundaries. Whether agents are humans, firms, ants, or ecological entities, whenever more than two states compete in a structured population (represented by a lattice or a network), the stability of subsystem solutions is crucial for a correct and relevant analysis.…”

Section: Discussionmentioning

confidence: 99%

Stability of subsystem solutions in agent-based models

Perc

2017

Preprint

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The fact that relatively simple entities, such as particles or neurons, or even ants or bees or humans, give rise to fascinatingly complex behavior when interacting in large numbers is the hallmark of complex systems science. Agent-based models are frequently employed for modeling and obtaining a predictive understanding of complex systems. Since the sheer number of equations that describe the behavior of an entire agent-based model often makes it impossible to solve such models exactly, Monte Carlo simulation methods must be used for the analysis. However, unlike pairwise interactions among particles that typically govern solid-state physics systems, interactions among agents that describe systems in biology, sociology or the humanities often involve group interactions, and they also involve a larger number of possible states even for the most simplified description of reality. This begets the question: When can we be certain that an observed simulation outcome of an agent-based model is actually stable and valid in the large system-size limit? The latter is key for the correct determination of phase transitions between different stable solutions, and for the understanding of the underlying microscopic processes that led to these phase transitions. We show that a satisfactory answer can only be obtained by means of a complete stability analysis of subsystem solutions. A subsystem solution can be formed by any subset of all possible agent states. The winner between two subsystem solutions can be determined by the average moving direction of the invasion front that separates them, yet it is crucial that the competing subsystem solutions are characterized by a proper composition and spatiotemporal structure before the competition starts. We use the spatial public goods game with diverse tolerance as an example, but the approach has relevance for a wide variety of agent-based models.

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“…In the last years, scientists belonging to different communities investigated socio-economic systems and biological phenomena under the lens of evolutionary game theory (hereinafter EGT) [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. In general, studying the evolution of a population and identifying strategies that trigger cooperation [17,18] constitute some of the major goals in EGT.…”

Section: Introductionmentioning

confidence: 99%

The Host-Pathogen Game: An Evolutionary Approach to Biological Competitions

Javarone

2018

Front. Phys.

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We introduce a model called Host-Pathogen game for studying biological competitions. Notably, we focus on the invasive dynamics of external agents, like bacteria, within a host organism. The former are mapped to a population of defectors that aim to spread in the extracellular medium of the host. In turn, the latter is composed of cells, mapped to a population of cooperators, that aim to kill pathogens. The cooperative behavior of cells is fundamental for the emergence of the living functions of the whole organism, since each one contributes to a specific set of tasks. So, broadly speaking, their contribution can be viewed as a form of energy. When bacteria are spatially close to a cell, the latter can use a fraction of its energy to remove them. On the other hand, when bacteria survive an attack, they absorb the received energy, becoming stronger and more resistant to further attacks. In addition, since bacteria play as defectors, their unique target is to increase their wealth, without supporting their own kind. As in many living organisms, the host temperature plays a relevant role in the host-pathogen equilibrium. For instance, in animals like human beings, a neural mechanism triggers the increasing of the body temperature in order to activate the immune system. Here, cooperators succeed once bacteria are completely removed while, in the opposite scenario, the host undergoes a deep invasive process, like a blood poisoning. Results of numerical simulations show that the dynamics of the proposed model allow to reach a variety of states. At a very high level of abstraction, some of these states seem to be similar to those that can be observed in some living systems. Therefore, to conclude, we deem that our model might be exploited for studying further biological phenomena.

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Conformity-driven agents support ordered phases in the spatial public goods game

Cited by 61 publications

References 41 publications

Person-Situation Debate Revisited: Phase Transitions with Quenched and Annealed Disorders

Person-Situation Debate Revisited: Phase Transitions with Quenched and Annealed Disorders

Stability of subsystem solutions in agent-based models

The Host-Pathogen Game: An Evolutionary Approach to Biological Competitions

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