Bounded confidence model: addressed information maintain diversity of opinions

Malarz, Krzysztof; Kułakowski, K.

doi:10.12693/aphyspola.121.b-86

Cited by 6 publications

(7 citation statements)

References 10 publications

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“…On the other hand, the latter unanimity disappears if messages are addressed to minds which are neighbours in the square of issues. Then, again, the opinions are less extreme [5]. These results lead one to be cautious about situations in which unanimity is treated as good and conflict as evil.…”

Section: Additional Remarksmentioning

confidence: 98%

Mental ability and common sense in an artificial society

Malarz

Kułakowski

2014

Europhysics News

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How we decide what is right or wrongWe read newspapers and watch TV every day. There are many issues and many controversies. Since media are free, we can hear arguments from every possible side. How do we decide what is wrong or right? The first condition to accept a message is to understand it; messages that are too sophisticated are ignored. So it seems reasonable to assume that our understanding depends on our ability and our current knowledge. Here we show that the consequences of this statement are surprising and funny. How do we learn?To demonstrate this, we propose a computational model with two assumptions [1]. The first is that messages can be represented as points on a plane of a finite area, say, a square a×a. Consequently, we can measure the distance between messages. The second assumption is that we can understand a message if it is not too far from what we already know.As a direct consequence of these two assumptions, we obtain a simple model of learning. In this model the mind is represented by an area around the messages understood by the mind's owner. Her/his ability is represented by a critical distance D c . A new message can be grasped if its distance to the closest previously understood message is shorter than D c . If this distance is longer, the message is ignored.Let us consider a new area of experience: differential calculus, traffic regulations, stock market, foreign policy or classic Latin grammar can serve MENTAL ABILITY AND COMMON SENSE IN AN ARTIFICIAL SOCIETYHaving equally valid premises pro and contra, what does a rational human being prefer? The answer is: nothing. We designed a test of this kind and applied it to an artificial society, characterized by a given level of mental ability. A stream of messages from media is supplemented by ongoing interpersonal communication. The result is that high ability leads to wellbalanced opinions, while low ability produces extreme opinions.

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Section: Additional Remarksmentioning

confidence: 98%

Mental ability and common sense in an artificial society

Malarz

Kułakowski

2014

Europhysics News

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“…[42][43][44][45]) or the continuous space of opinions (see for example Refs. [13,[46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62]).…”

Section: Introductionmentioning

confidence: 99%

Noise induced unanimity and disorder in opinion formation

Kowalska-Styczeń

Malarz

2020

PLoS ONE

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We propose an opinion dynamics model based on Latané 's social impact theory. Actors in this model are heterogeneous and, in addition to opinions, are characterised by their varying levels of persuasion and support. The model is tested for two and three initial opinions randomly distributed among actors. We examine how the noise (randomness of behaviour) and the flow of information among actors affect the formation and spread of opinions. Our main research involves the process of opinion formation and finding phases of the system in terms of parameters describing noise and flow of the information for two and three opinions available in the system. The results show that opinion formation and spread are influenced by both (i) flow of information among actors (effective range of interactions among actors) and (ii) noise (randomness in adopting opinions). The noise not only leads to opinions disorder but also it promotes consensus under certain conditions. In disordered phase and when the exchange of information is spatially effectively limited, various faces of disorder are observed, including system states, where the signatures of self-organised criticality manifest themselves as scale-free probability distribution function of cluster sizes. Then increase of noise level leads system to disordered random state. The critical noise level above which histograms of opinion clusters' sizes loose their scale-free character increases with increase of the easy of information flow.

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“…The threshold distance from a previously received message to a newly accepted, although far, one, represented the mental ability of an agent in the unified model. The basic result of (Kulakowski 2009;Malarz et al 2011;Malarz and Kulakowski, 2012) is that agents with smaller abilities are more prone to extreme opinions. Apparently, this result does not depend on the choice of the threshold value.…”

Section: Message Receiptmentioning

confidence: 99%

How Many Parameters To Model States Of Mind?

Kułakowski¹,

Gronek²,

Dydejczyk³

2013

ECMS 2013 Proceedings Edited By: Webjorn Rekdalsbakken, Robin T. Bye, Houxiang Zhang

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A series of examples of computational models is provided, where the model aim is to interpret numerical results in terms of internal states of agents' minds. Two opposite strategies or research can be distinguished in the literature. First is to reproduce the richness and complexity of real world as faithfully as possible, second is to apply simple assumptions and check the results in depth. As a rule, the results of the latter method agree only qualitatively with some stylized facts. The price we pay for more detailed predictions within the former method is that consequences of the rich set of underlying assumptions remain unchecked. Here we argue that for computational reasons, complex models with many parameters are less suitable.

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Bounded confidence model: addressed information maintain diversity of opinions

Cited by 6 publications

References 10 publications

Mental ability and common sense in an artificial society

Mental ability and common sense in an artificial society

Noise induced unanimity and disorder in opinion formation

How Many Parameters To Model States Of Mind?

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