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An interpretable approach for social network formation among heterogeneous agents [PDF]
Nature Communications, 2018 Complex networks can be a useful tool to investigate problems in social science. Here the authors use game theory to establish a network model and then use a machine learning approach to characterize the role of nodes within a social network.
Yuan Yuan +2 more
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Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents Group
IEEE Access, 2020 Collective intelligence is manifested when multiple agents coherently work in observation, interaction, decision-making and action. In this paper, we define and quantify the intelligence level of heterogeneous agents group organized in a flat structure ...
Anna Dai +4 more
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Bi-level graph attention paradigm with differential strategy integration for heterogeneous multi-agent reinforcement learning [PDF]
Scientific ReportsCollaboration among heterogeneous agents is crucial for addressing complex real-world tasks that require leveraging diverse capabilities. In such systems, increasing agent numbers amplify the challenges of communication and coordinated decision-making ...
Yun Li, Zhimin Zhang, Jiao Wang
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Evolution of Combined Arms Tactics in Heterogeneous Multi-Agent Teams
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Multi-agent systems research is concerned with the emergence of system-level behaviors from relatively simple agent interactions. Multi-agent systems research to date is primarily concerned with systems of homogeneous agents, with member agents both ...
Robert Wilson +2 more
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Coexisting Attractors in a Heterogeneous Agent Model in Discrete Time
Mathematics, 2023 In this paper, the discrete-time version of a continuous-time model with fundamentalists and momentum traders is presented. Our aim consists of studying the impact of cross-sectional momentum traders on the dynamics of the model.
Serena Brianzoni +2 more
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Two-stage training algorithm for AI robot soccer [PDF]
PeerJ Computer Science, 2021 In multi-agent reinforcement learning, the cooperative learning behavior of agents is very important. In the field of heterogeneous multi-agent reinforcement learning, cooperative behavior among different types of agents in a group is pursued. Learning a
Taeyoung Kim +4 more
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A Theory of Heterogeneous City Evolution with Heterogenous Agents
Systems, 2023 This paper develops a new unified theoretical general equilibrium model in which the interactions between heterogeneous workers and firms influence heterogeneous city evolutions.
Jaewon Jung
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Energies, 2021 To achieve the climate goals of the Paris Agreement, greenhouse gas emissions from the electricity sector must be substantially reduced. We develop an agent-based model of the electricity system with heterogeneous agents who invest in power generating ...
Jinxi Yang +2 more
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Analysis of Household Income Dynamics in the Russia Based on the RLMS Database
Финансы: теория и практика, 2022 The goal of the study is to estimate the parameters of the stochastic wage process using data from the Russian Longitudinal Monitoring Survey of Higher School of Economics (RLMS-HSE).
E. V. Martyanova, A. V. Polbin
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¿La desigualdad de los agentes afecta al consumo? Una visión desde la política monetaria
Revista de Análisis Económico y Financiero, 2020 This document analyzes the indirect effect between aggregate consumption and the design of monetary policy under the basic New Keynesian approach in a small closed economy.
Renzo Vidal Caycho
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