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This article introduces a fully automated verification technique that permits to analyze real-time systems described using a continuous notion of time and a mixture of operational (i.e., automata-based) and descriptive (i.e., logic-based)…

Logic in Computer Science · Computer Science 2013-08-14 Carlo A. Furia , Matteo Pradella , Matteo Rossi

As REST APIs become an increasingly significant part of software systems, their validation is becoming more critical. Hence, testing and uncovering underlying issues are of utmost importance for improving software quality. However, testing…

Software Engineering · Computer Science 2026-05-28 Shehroz Khan , Abdullah Mughees , Gaadha Sudheerbabu , Tanwir Ahmad , Dragos Truscan

We argue that establishing the phase diagram of Agent Based Models (ABM) is a crucial first step, together with a qualitative understanding of how collective phenomena come about, before any calibration or more quantitative predictions are…

Theoretical Economics · Economics 2024-12-17 Jean-Philippe Bouchaud

Large language models (LLMs) are increasingly used as simulated participants in social science experiments, but their behavior is often unstable and highly sensitive to design choices. Prior evaluations frequently conflate base-model…

Artificial Intelligence · Computer Science 2026-02-03 Xuan Liu , Haoyang Shang , Zizhang Liu , Xinyan Liu , Yunze Xiao , Yiwen Tu , Haojian Jin

In Multi-Agent Systems (MAS), agents are designed with social capabilities, allowing them to understand and reason about social concepts such as norms when interacting with others (e.g., inter-robot interactions). In Normative MAS (NorMAS),…

Multiagent Systems · Computer Science 2026-03-05 Oishik Chowdhury , Anushka Debnath , Bastin Tony Roy Savarimuthu

With advancements in reasoning capabilities, Large Language Models (LLMs) are increasingly employed for automated judgment tasks. While LLMs-as-Judges offer promise in automating evaluations, current approaches often rely on simplistic…

Artificial Intelligence · Computer Science 2025-10-15 Tianyu Hu , Zhen Tan , Song Wang , Huaizhi Qu , Tianlong Chen

Drug discovery frequently loses momentum when data, expertise, and tools are scattered, slowing design cycles. To shorten this loop we built a hierarchical, tool using agent framework that automates molecular optimisation. A Principal…

Machine Learning · Computer Science 2025-08-06 Atabey Ünlü , Phil Rohr , Ahmet Celebi

By utilizing more computational resources at test-time, large language models (LLMs) can improve without additional training. One common strategy uses verifiers to evaluate candidate outputs. In this work, we propose a novel scaling…

Artificial Intelligence · Computer Science 2025-02-28 Shalev Lifshitz , Sheila A. McIlraith , Yilun Du

The evaluation of large language models (LLMs) has predominantly relied on static datasets, which offer limited scalability and fail to capture the evolving reasoning capabilities of recent models. To overcome these limitations, we propose…

Computation and Language · Computer Science 2026-03-02 Seungdong Yoa , Sanghyu Yoon , Suhee Yoon , Dongmin Kim , Ye Seul Sim , Junhyun Lee , Woohyung Lim

Agent Based Models (ABMs) often deal with systems where there is a lack of quantitative data or where quantitative data alone may be insufficient to fully capture the complexities of real-world systems. Expert knowledge and qualitative…

Artificial Intelligence · Computer Science 2025-06-11 Frederike Oetker , Vittorio Nespeca , Rick Quax

With the proliferation of Large Language Models (LLMs), the detection of misinformation has become increasingly important and complex. This research proposes an innovative verifiable misinformation detection LLM agent that goes beyond…

Artificial Intelligence · Computer Science 2025-08-06 Zikun Cui , Tianyi Huang , Chia-En Chiang , Cuiqianhe Du

Economic agent-based models (ABMs) are becoming more and more data-driven, establishing themselves as increasingly valuable tools for economic research and policymaking. We propose to classify the extent to which an ABM is data-driven based…

General Economics · Economics 2024-12-24 Marco Pangallo , R. Maria del Rio-Chanona

Agent-based models (ABM) are gaining traction as one of the most powerful modelling tools within the social sciences. They are particularly suited to simulating complex systems. Despite many methodological advances within ABM, one of the…

Multiagent Systems · Computer Science 2020-03-27 Le-Minh Kieu , Nicolas Malleson , Alison Heppenstall

As Large Language Models (LLMs) have become integral to both research and daily operations, rigorous evaluation is crucial. This assessment is important not only for individual tasks but also for understanding their societal impact and…

Software Engineering · Computer Science 2024-04-02 Zeeshan Rasheed , Muhammad Waseem , Kari Systä , Pekka Abrahamsson

In recent years, many scholars praised the seemingly endless possibilities of using machine learning (ML) techniques in and for agent-based simulation models (ABM). To get a more comprehensive understanding of these possibilities, we…

Theoretical Economics · Economics 2020-03-27 Johannes Dahlke , Kristina Bogner , Matthias Mueller , Thomas Berger , Andreas Pyka , Bernd Ebersberger

The emergence of Large Language Models (LLMs) has catalyzed a paradigm shift in programming, giving rise to "vibe coding", where users can build complete projects and even control computers using natural language instructions. This paradigm…

Software Engineering · Computer Science 2026-03-27 Fanheng Kong , Jingyuan Zhang , Yang Yue , Chenxi Sun , Yang Tian , Shi Feng , Xiaocui Yang , Daling Wang , Yu Tian , Jun Du , Wenchong Zeng , Han Li , Kun Gai

Agent-based modeling is a powerful simulation technique to understand the collective behavior and microscopic interaction in complex financial systems. Recently, the concept for determining the key parameters of the agent-based models from…

Statistical Finance · Quantitative Finance 2017-03-21 T. T. Chen , B. Zheng , Y. Li , X. F. Jiang

Agent-based models (ABMs) offer a powerful framework for understanding complex systems. However, their computational demands often become a significant barrier as the number of agents and complexity of the simulation increase. Traditional…

Multiagent Systems · Computer Science 2025-10-23 Steffen Fürst , Tim Conrad , Carlo Jaeger , Sarah Wolf

Agent-based modelling (ABM) is a widespread approach to simulate complex systems. Advancements in computational processing and storage have facilitated the adoption of ABMs across many fields; however, ABMs face challenges that limit their…

Machine Learning · Computer Science 2026-03-06 M Lopes Alves , Joel Dyer , Doyne Farmer , Michael Wooldridge , Anisoara Calinescu

Although LLM-based agents, powered by Large Language Models (LLMs), can use external tools and memory mechanisms to solve complex real-world tasks, they may also introduce critical security vulnerabilities. However, the existing literature…

Cryptography and Security · Computer Science 2025-06-02 Hanrong Zhang , Jingyuan Huang , Kai Mei , Yifei Yao , Zhenting Wang , Chenlu Zhan , Hongwei Wang , Yongfeng Zhang
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