A5019698266- Complex Systems and Time Series Analysis
- Economic theories and models
- Opinion Dynamics and Social Influence
- Management, Economics, and Public Policy
- Complex Systems and Decision Making
- Multi-Agent Systems and Negotiation
- Economic Theory and Institutions
- Business Strategy and Innovation
- Evolutionary Game Theory and Cooperation
- Game Theory and Applications
- Banking stability, regulation, efficiency
- Educational and Social Studies
- Diverse academic and cultural studies
- Italian Social Issues and Migration
- Auction Theory and Applications
- Complex Network Analysis Techniques
- Mathematical Biology Tumor Growth
- COVID-19 epidemiological studies
- Advanced Thermodynamics and Statistical Mechanics
- Modular Robots and Swarm Intelligence
- Stock Market Forecasting Methods
- Italy: Economic History and Contemporary Issues
- Financial Markets and Investment Strategies
- Urban Planning and Valuation
- Simulation Techniques and Applications
University of Turin
2014-2024
Collegio Carlo Alberto
2018-2023
Unione Italiana del Lavoro
1997
The modeling of living systems composed many interacting entities is treated in this paper with the aim describing their collective behaviors. mathematical approach developed within general framework kinetic theory active particles. presentation three parts. First, we derive tools, subsequently, show how method can be applied to a number case studies related well defined systems, and finally, look ahead research perspectives.
Abstract Agent-based approaches have been known to be appropriate as systems and methods in medical administration recent years. The increased attention processes led the growth of Business Process Management discipline, which quite exclusively adopt discrete-event modeling simulation. This paper proposes a agent-oriented decision support system integrate achievements from management science, agent-based modeling, artificial intelligence. In particular, we performed practical application...
We explore the Covid-19 diffusion with an agent-based model of Italian region a population on scale 1:1000. also simulate different vaccination strategies. From decision support system perspective, we investigate adoption artificial intelligence techniques to provide suggestions about more effective policies. adopt widely used multi-agent programmable modeling environment NetLogo, adding genetic algorithms evolve best criteria. The results suggest promising methodology for defining vaccine...
An important perspective use of agent-based models (ABMs) is that being employed as tools to support decision systems in policymaking, the complex framework. Such can be usefully at two different levels: help deciding (policymaker level) and empower capabilities people evaluating effectiveness policies (citizen level). Consequently, class ABMs for policymaking needs both quite simple its structure highly sophisticated outcomes. The pursuing simplicity sophistication made more effective by...
This paper proposes a further development of the mathematical theory swarms to behavioral dynamics social and economic systems, with an application modeling price series in market. The complexity features system are properly described by asymmetric interactions between buyers sellers, specifically considering so-called cherry picking phenomenon, which not only prices but also qualities considered when buying good. Finally, numerical simulations performed depict predictive ability model show...
The birth and death of firms is one the main features business cycle. Yet mainstream DGSE macroeconomic models mostly ignore this phenomenon, thereby excluding any potential impact economic policy on probability firms. Those that do allow for phenomenon so at cost drastic simplifications, which effectively rule out causal links between strategic interaction industrial macroeconomy. This innovative new book develops a bottom-up, agent-based framework shows how interactions level oligopolistic...
<p style='text-indent:20px;'>This paper presents a development of the mathematical theory swarms towards systems approach to behavioral dynamics social and economical systems. The modeling accounts for ability entities are develop specific strategy which is heterogeneously distributed by interactions nonlinearly additive. A detailed application prices in interaction between buyers sellers developed describe predictive model.
The artificial units of an agent-based model can be played around to diffuse innovation and new ideas or act conserve the status quo, escaping from advances in technology organizational methods proposals, exactly as agents epidemic situation avoid contagion. emerging structure is obviously a function density agents, but its behavior vary dramatic way if few are able evolve some form intelligent behavior. In our case, developed allowing plan actions using neural networks or, alternative,...
Many governments enforced physical distancing measures during the COVID-19 pandemic to avoid collapse of often fragile and overloaded health care systems.Following measures, school closures seemed unavoidable keep transmission pathogen under control, given potentially high-risk these environments.Nevertheless, closing schools was considered an extreme last resort governments, so various non-pharmaceutical interventions in were implemented reduce risk transmission.By means agent-based model,...