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Agent-based modeling is a computational dynamic modeling technique that may be less familiar to some readers. Agent-based modeling seeks to understand the behaviour of complex systems by situating agents in an environment and studying the…

Multiagent Systems · Computer Science 2023-04-19 G. Wade McDonald , Nathaniel D. Osgood

How does technological interdependence affect innovation? We address this question by examining the influence of neighbors' innovativeness and the structure of the innovators' network on a sector's capacity to develop new technologies. We…

Econometrics · Economics 2024-09-18 A. Fronzetti Colladon , B. Guardabascio , F. Venturini

Agent-based modelling and simulation offers a new and exciting way of understanding the world of work. In this paper we describe the development of an agent-based simulation model, designed to help to understand the relationship between…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Peer-Olaf Siebers , Uwe Aickelin , Helen Celia , Christopher Clegg

Social identities play an important role in the dynamics of human societies, and it can be argued that some sense of identification with a larger cause or idea plays a critical role in making humans act responsibly. Often social activists…

Multiagent Systems · Computer Science 2025-05-27 Karthik Sama , Janvi Chhabra , Arpitha Srivatsha Malavalli , Jayati Deshmukh , Srinath Srinivasa

Autonomous agents represent an inevitable evolution of the internet. Current agent frameworks do not embed a standard protocol for agent-to-agent interaction, leaving existing agents isolated from their peers. As intellectual property is…

Artificial Intelligence · Computer Science 2025-01-14 Andrea Muttoni , Jason Zhao

Intellectual properties is increasingly important in the economic development. To solve the pain points by traditional methods in IP evaluation, we are developing a new technology with machine learning as the core. We have built an online…

Artificial Intelligence · Computer Science 2022-08-19 Jinxin Ding , Yuxin Huang , Keyang Ni , Xueyao Wang , Yinxiao Wang , Yucheng Wang

Indirect competition emerged from the complex organization of human societies, and knowledge of the existing network topology may aid in developing effective strategies for success. Here, we propose an agent-based model of competition with…

General Finance · Quantitative Finance 2011-06-28 Erika Fille Legara , Anthony Longjas , Rene Batac

Generative artificial intelligence (AI) systems have transformed various industries by autonomously generating content that mimics human creativity. However, concerns about their social and economic consequences arise with widespread…

Computers and Society · Computer Science 2024-09-02 Joao Tiago Aparicio , Manuela Aparicio , Sofia Aparicio , Carlos J. Costa

This paper presents a simple agent-based model of an economic system, populated by agents playing different games according to their different view about social cohesion and tax payment. After a first set of simulations, correctly…

General Finance · Quantitative Finance 2018-09-24 L. S. Di Mauro , A. Pluchino , A. E. Biondo

Agent-based models provide a constructive approach to studying emergent dynamics in life-like systems composed of interacting, adaptive agents. Financial markets serve as a canonical example of such systems, where collective price dynamics…

Computational Finance · Quantitative Finance 2026-04-28 Ryuji Hashimoto , Ryosuke Takata , Masahiro Suzuki , Yuki Tanaka , Kiyoshi Izumi

Incentive design deals with interaction between a principal and an agent where the former can shape the latter's utility through a policy commitment. It is well known that the principal faces an information rent when dealing with an agent…

Computer Science and Game Theory · Computer Science 2025-09-03 Raj Kiriti Velicheti , Subhonmesh Bose , Tamer Başar

When decisions about developing standards are left to individual firms, there are many advantages including a flexible response to market evolution, accommodation to rapid technology change, and avoidance of costly coordination. However,…

Computers and Society · Computer Science 2007-05-23 Zixiang Alex Tan

Understanding the evolution of human social systems requires flexible formalisms for the emergence of institutions. Although game theory is normally used to model interactions individually, larger spaces of games can be helpful for modeling…

Physics and Society · Physics 2021-08-12 Seth Frey , Curtis Atkisson

The integration of AI agents into economic markets fundamentally alters the landscape of strategic interaction. We investigate the economic implications of expanding the set of available technologies in three canonical game-theoretic…

Computer Science and Game Theory · Computer Science 2026-04-14 Eilam Shapira , Roi Reichart , Moshe Tennenholtz

A new simple model of diffusion of innovations in a social network with upgrading costs is introduced. Agents are characterized by a single real variable, their technological level. According to local information agents decide whether to…

Statistical Mechanics · Physics 2009-11-07 X. Guardiola , A. Diaz-Guilera , C. J. Perez , A. Arenas , M. Llas

We model endogenous perception of private information in single-agent screening problems, with potential evaluation errors. The agent's evaluation of their type depends on their cognitive state: either attentive (i.e., they correctly…

Theoretical Economics · Economics 2025-03-12 Benjamin Balzer , Benjamin Young

I develop a rather simple agent-based model to capture a co-evolution of opinion formation, political decision making and economic outcomes. I use this model to study how societies form opinions if their members have opposing interests.…

General Economics · Economics 2021-11-19 Patrick Mellacher

This article examines the complex trade-offs inherent in the patent system, exploring whether patents truly incentivize innovation or inadvertently hinder progress. It traces the historical evolution of patent rights from their origins in…

General Economics · Economics 2025-04-17 Gaetan de Rassenfosse

This work researches the impact of including a wider range of participants in the strategy-making process on the performance of organizations which operate in either moderately or highly complex environments. Agent-based simulation…

Artificial Intelligence · Computer Science 2020-09-28 Joop van de Heijning , Stephan Leitner , Alexandra Rausch

The game industry is challenged to cope with increasing growth in demand and game complexity while maintaining acceptable quality standards for released games. Classic approaches solely depending on human efforts for quality assurance and…

Artificial Intelligence · Computer Science 2023-11-14 Sherif Abdelfattah , Adrian Brown , Pushi Zhang