News

• 2025 August 14th: The venue is fixed to "Room 520E" at IJCAI.

• 2025 August 4th: Workshop program is now available!

• 2025 July 7th: The information on two keynote speakers are now open! Visit this page for details.

Introduction

Agent AI is one of the important research directions after we had significant success with multimodal large language models. It leads to the chance of using AI for business analysis, and also increases the uncertainty in scenario planning. 

Scenario planning finds its most potent applications in fields rife with uncertainty. Long-term strategic planning, geopolitics, and nascent industries are arenas where the linearity of traditional forecasting proves inadequate. While scenario planning isn't novel, its confluence with modern technological tools like NLP brings forth exciting prospects. With the rise of generative NLP technologies, as highlighted by recent research, there's an evolving landscape where scenario planning can be further refined, automated, and diversified. NLP's capability to parse vast textual datasets, identify emerging patterns, and even generate detailed narratives makes it a formidable tool in the scenario planner's toolkit.

The modern era, with its rapid technological advancements, geopolitical flux, and ever-changing socio-economic landscapes, encapsulates the VUCA paradigm - Volatile, Uncertain, Complex, and Ambiguous. Within this framework, traditional predictive methodologies, which often rest on linear extrapolations of existing trends, fall short. Unlike predictive models that seek precision based on historical and current data, scenario planning delves into a different realm. It doesn't merely project an extrapolated future; it crafts multiple narratives, each shedding light on a potential future. Rather than trying to predict a single path forward, scenario planning embraces the multifaceted, uncertain nature of the future. It takes into account various driving forces and uncertainties, crafting stories that present alternative futures, some of which may even seem improbable. This approach isn't about predicting the right future but about being prepared for a spectrum of possibilities. 

Following this line of thought, the aim of AgentScen workshop is to discuss the potential of agent AI for scenario planning. For example, Scenario planning can be applied to key healthcare and biomedical domains, including pandemic preparedness, hospital resource management, medical technology advancements, health insurance sustainability, and the future of telemedicine. By integrating qualitative and quantitative approaches—ranging from expert-driven scenario narratives to data-driven modeling—participants will learn how to navigate uncertainty and proactively shape the future of healthcare. Additionally, in finance and business fields, scenario planning can help executives, financial analysts, and decision-makers navigate uncertainty in areas such as market volatility, interest rate fluctuations, investment risks, corporate financial planning, regulatory changes, and technological disruptions. By constructing and analyzing alternative scenarios, organizations can better anticipate potential challenges and capitalize on emerging opportunities.

Important Dates

• Camera-Ready Deadline: June 30, 2025

  • Submission Site: https://easychair.org/my/conference?conf=agentscen2025