<?xml version="1.0" encoding="UTF-8"?>
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  <title>IRIS Tipologia:</title>
  <link rel="alternate" href="https://hdl.handle.net/10807/946" />
  <subtitle />
  <id>https://hdl.handle.net/10807/946</id>
  <updated>2026-07-14T04:16:55Z</updated>
  <dc:date>2026-07-14T04:16:55Z</dc:date>
  <entry>
    <title>Optimizing the calibration of agent-based models throughreinforcement learning</title>
    <link rel="alternate" href="https://hdl.handle.net/10807/341944" />
    <author>
      <name />
    </author>
    <id>https://hdl.handle.net/10807/341944</id>
    <updated>2026-07-04T00:14:18Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Titolo: Optimizing the calibration of agent-based models throughreinforcement learning
Autori: Delli Gatti, Domenico; Glielmo, Aldo; Gusella, Filippo; Turco, Enrico Maria</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Generative Agents and Expectations: Do LLMs Align with Heterogeneous&#xD;
Agent Models?</title>
    <link rel="alternate" href="https://hdl.handle.net/10807/341916" />
    <author>
      <name />
    </author>
    <id>https://hdl.handle.net/10807/341916</id>
    <updated>2026-07-04T00:14:29Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Titolo: Generative Agents and Expectations: Do LLMs Align with Heterogeneous&#xD;
Agent Models?
Autori: Filippo Gusella; Eugenio Vicario
Abstract: Results in the Heterogeneous Agent Model (HAM) literature determine the proportion of fundamentalists and trend followers in the financial market. This proportion varies according to the periods analyzed. In this paper, we use a large language model (LLM) to construct a generative agent (GA) that determines the probability of adopting one of the two strategies based on current information. The probabilities of strategy adoption are compared with those in the HAM literature for the S\&amp;amp;P 500 index between 1990 and 2020. Our findings suggest that the resulting artificial intelligence (AI) expectations align with those reported in the HAM literature. At the same time, extending the analysis to artificial market data helps us to filter the decision-making process of the AI agent. In the artificial market, results confirm the heterogeneity in expectations but reveal systematic asymmetry toward the fundamentalist behavior.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Cronaca. L’Istituto Lombardo ricorda Marta Sordi: Milano, Istituto Lombardo Accademia di Scienze e Lettere, 18 novembre 2025</title>
    <link rel="alternate" href="https://hdl.handle.net/10807/341837" />
    <author>
      <name />
    </author>
    <id>https://hdl.handle.net/10807/341837</id>
    <updated>2026-07-03T00:11:26Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Titolo: Cronaca. L’Istituto Lombardo ricorda Marta Sordi: Milano, Istituto Lombardo Accademia di Scienze e Lettere, 18 novembre 2025
Autori: Paolo Andrea Tuci
Abstract: Cronaca della giornata in ricordo di Marta Sordi (1925-2009) tenutasi presso l'Istituto Lombardo di Milano.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Presentazione</title>
    <link rel="alternate" href="https://hdl.handle.net/10807/341281" />
    <author>
      <name />
    </author>
    <id>https://hdl.handle.net/10807/341281</id>
    <updated>2026-06-30T00:11:55Z</updated>
    <published>2023-01-01T00:00:00Z</published>
    <summary type="text">Titolo: Presentazione
Autori: Emidio Vergani; Louay AlShabani
Abstract: Presentazione di una grammatica siriaca in lingua italiana di un autore iraqeno</summary>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </entry>
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