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Mixing beliefs among interacting agents

Guillaume Deffuant, David Neau, Frederic Amblard, Gérard Weisbuch
2000 Advances in Complex Systems  
We present a model of opinion dynamics where agents adjust continuous opinions on the occasion of random binary encounters whenever their difference in opinion is below a given threshold.  ...  Here, we only treat the case of complete mixing; any couple of agents might interact and adjust opinions according to how many opinions they share.  ...  Complete Mixing The basic model Let us consider a population of AE agents with continuous opinions Ü . At each time step any two randomly chosen agents meet.  ... 
doi:10.1142/s0219525900000078 fatcat:gqvs2jlz6bbvvkplhgfogcu6mu

Comment on "Mixing beliefs among interacting agents" [article]

Javier Gómez-Serrano, Jean-Yves Le Boudec
2012 arXiv   pre-print
x after the interaction.  ...  During an elementary timestep corresponding to one interaction, the variation of ρ(x) can be seen as the sum of two contributions: A negative contribution corresponding to the probability for an agent  ... 
arXiv:1201.1789v1 fatcat:v3gexeqyy5hd5izpnknvxabbqi

Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints

Angelia Nedić, Alex Olshevsky, César A. Uribe
2019 Scientific Reports  
Opinion formation cannot be modeled solely as an ideological deduction from a set of principles; rather, repeated social interactions and logic constraints among statements are consequential in the construct  ...  of belief systems.  ...  After each social interaction, the agents use shared opinions, as well as underlying logical dependencies among them, to update their beliefs.  ... 
doi:10.1038/s41598-019-45076-4 pmid:31221988 pmcid:PMC6586829 fatcat:p5wqdl5tmffjzldpkqyubzusmy

Is radicalization reinforced by social media censorship? [article]

Justin E. Lane, Kevin McCaffree, F. LeRon Shults
2021 arXiv   pre-print
This article presents and agent-based model of a social media network that enables investigation of the effects of censorship on the amount of dissenting information to which agents become exposed and  ...  and 2) centralized censorship-in which a single authority can ban an individual from the social media network for spreading a certain type of belief.  ...  Agents interact with one another at each time step. Agents broadcast their belief to their social network ties.  ... 
arXiv:2103.12842v1 fatcat:zifwjkudfferbbadz3xlppmwda

Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards [article]

Keyang He, Bikramjit Banerjee, Prashant Doshi
2020 arXiv   pre-print
We present an interactive advantage actor-critic method (IA2C^+), which combines the independent advantage actor-critic network with a belief filter that maintains a belief distribution over other agents  ...  among the agents to promote cooperation, which may not be possible under competition.  ...  INTRODUCTION Real-world multi-agent domains involving interactions among agents are often not purely cooperative or competitive.  ... 
arXiv:2010.08030v1 fatcat:3cn6jgdepjcodjnii3xbkktw2e

The Evolutionary Dynamics of the Mixe Language [chapter]

Aida Huerta Barrientos
2017 Sociolinguistics - Interdisciplinary Perspectives  
First, we develop a conceptual model of the linguistic group Mixe as complex adaptive system, followed by the implementation of an agent-based simulation model in NetLogo, and finally, we analyze the evolutionary  ...  dynamics of the Mixe language, depending on the mutation rate of the idiolects.  ...  Agents are represented by squares, and the state of each agent is updated depending on the state of its neighbors when there are interactions among them.  ... 
doi:10.5772/intechopen.68151 fatcat:hzctxzumind4niej5dbhonwk3y

Social Situated Agents in Virtual, Real and Mixed Reality Environments [chapter]

M. Dragone, T. Holz, B. R. Duffy, G. M. P. O'Hare
2005 Lecture Notes in Computer Science  
This paper details a framework for explicit deliberative control of socially and physically situated agents in virtual, real and mixed reality environments.  ...  The architecture presented in this paper embraces the fusion between deliberative social reasoning mechanisms and explicit tangible behavioural mechanisms for human-agent social interaction.  ...  To facilitate collaboration among agents, Agent Factory agents make use of Speech Act Theory [26] , a formalism for accurate and expressive communication mechanisms in Multi-Agent Systems.  ... 
doi:10.1007/11550617_15 fatcat:wuq3gb4xn5gh5fgxqn5cigzshq

Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints [article]

Angelia Nedić and Alex Olshevsky and César A. Uribe
2018 arXiv   pre-print
Opinion formation cannot be modeled solely as an ideological deduction from a set of principles; rather, repeated social interactions and logic constraints among statements are consequential in the construct  ...  of belief systems.  ...  After each social interaction, the agents use shared opinions, as well as underlying logical dependencies among them, to update their beliefs.  ... 
arXiv:1810.02456v2 fatcat:3jx7su6gavatpnplwkiyro5x6u

A mixed generative model of auditory word repetition [article]

Noor Sajid, Emma Holmes, Lancelot Da Costa, Cathy Price, Karl Friston
2022 bioRxiv   pre-print
The results of these simulations reveal how the generative model correctly infers what must be repeated, to the extent it can successfully interact with a human subject.  ...  This allows a (synthetic) WORM agent to perform categorical inference on continuous acoustic signals, and based on the same model to repeat heard words at the appropriate time.  ...  This mimics the interaction of two different agents-with the same internal representations.  ... 
doi:10.1101/2022.01.20.477138 fatcat:dmmuu2q7ubhgnmst2y2dsip3y4

Computational Mechanisms for Mental Models in Human-Robot Interaction [chapter]

Matthias Scheutz
2013 Lecture Notes in Computer Science  
In this paper, we will describe some of the challenges involved in developing general computational mechanisms for mental models and their applications in the context human-robot interactions in mixed  ...  Mental models play an important and sometimes critical role in human-human interactions, in particular, in the context of human team tasks where humans need to interact with each other to achieve common  ...  Hence, it is critical to represent the other agents' perspectives, which will allow for better detection of inconsistencies and thus improved alignment among agents.  ... 
doi:10.1007/978-3-642-39405-8_34 fatcat:ugxbwmglkrek7ndtbkfvdsqi3m

On a Network SIS Model with Opinion Dynamics

Weihao Xuan, Ruijie Ren, Philip E. Paré, Mengbin Ye, Sebastian Ruf, Ji Liu
2020 IFAC-PapersOnLine  
Originally these models only considered a well-mixed population, in which each agent had an equal probability of interaction with any other agent.  ...  Originally these models only considered a well-mixed population, in which each agent had an equal probability of interaction with any other agent.  ... 
doi:10.1016/j.ifacol.2020.12.305 fatcat:2uhp3sowmzezhpssov647ihwi4

Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents [article]

Trong Nghia Hoang, Kian Hsiang Low
2013 arXiv   pre-print
A key challenge in non-cooperative multi-agent systems is that of developing efficient planning algorithms for intelligent agents to interact and perform effectively among boundedly rational, self-interested  ...  agents (e.g., humans).  ...  effectively among boundedly rational 1 , self-interested agents (e.g., humans).  ... 
arXiv:1304.5159v1 fatcat:6vsbwvyiyvfvrbmuvlzcklf33e

Opinion fluctuations and persistent disagreement in social networks

Daron Acemoglu, Giacomo Como, Fabio Fagnani, Asuman Ozdaglar
2011 IEEE Conference on Decision and Control and European Control Conference  
When the society contains stubborn agents with different opinions, the belief dynamics never lead to a consensus (among the regular agents).  ...  linkages to stubborn agents, a condition of homogeneous influence emerges, whereby the ergodic beliefs of most of the regular agents have approximately equal marginal distributions.  ...  The pair N = (G, θ) contains the entire information about patterns of interaction among the agents, and will be referred to as the social network.  ... 
doi:10.1109/cdc.2011.6161319 dblp:conf/cdc/AcemogluCFO11 fatcat:ltgvbm6hi5hcrl46gl3tj5vszy

A belief-based evolutionarily stable strategy [article]

Xinyang Deng, Zhen Wang, Qi Liu, Yong Deng, Sankaran Mahadevan
2014 arXiv   pre-print
The belief strategy and belief-based ESS can reduce to the mixed strategy and mixed ESS, which provide more realistic and powerful tools to describe interactions among agents.  ...  Furthermore, based on the proposed belief strategy, a belief-based ESS has been developed.  ...  This setup provides more realistic and powerful frameworks to describe interactions among agents. The remainder of this paper is organized as follows.  ... 
arXiv:1406.0045v2 fatcat:py36rlm4u5a25hprhnwhvx6gqm

Monotonicity of equilibriums in Cournot competition with mixed interactions of agents and epistemic models of uncertain market

D.N. Fedyanin
2021 Procedia Computer Science  
This paper focuses on a mixed case -when there are at least four clusters -each cluster for every combination of types of agents and their interactions.  ...  This paper focuses on a mixed case -when there are at least four clusters -each cluster for every combination of types of agents and their interactions.  ...  Some images coincide with real agents, and others are just phantom agents. Term "phantom agent' is a feature of Chkhartishvili-Novikov notations for belief representations.  ... 
doi:10.1016/j.procs.2021.04.217 fatcat:fuogclgg4vapfmezplvzrgub2q
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