Focus Session: Complexity of AI

APCNCS 2026 | 9-12 June 2026, Singapore

Abstract Submission

Deadline: 30 Apr 2026 | Submit to organizers | Conference registration required

Introduction

Modern artificial intelligence (AI) models, specifically artificial neural networks, are typical complex systems that consist of a large number of interactions. With accelerating progress in the capabilities of AI, it calls for a better understanding of their working principles. Complexity science, a field behind the 2021 Nobel prizes in physics awarded to Giorgio Parisi, builds some key theoretical foundations for the 2024 Nobel prizes awarded to AI contributions by John J. Hopfield and Geoffrey Hinton, and is receiving increasing attention in the pursuit of understanding AI models.

As complex systems, AI models exhibit the typical phenomena of phase transition, emergence (of intelligence), multiple meta-stabilities, chaos, self-organization, etc. Studying and analyzing AI models through the perspective of complexity science can pave the way for a deeper understanding of how AI processes information, carrying out logic reasoning, and generating new data like images or texts. Such findings can potentially help us improve the capabilities, safety, and efficiency of AI models through untangling their complexities.

This Focused Session on "Complexity of AI" is held in conjunction with the Asia-Pacific Summer School and Conference on Networks and Complex Systems (APCNCS) 2026, held in Singapore from 9-12 Jun 2026. Participants at this focus session will also be invited to contribute to a joint special issue in MDPI Entropy and MDPI Complexities.

Session Organizers

Feng Ling

A*Star Institute of High Performance Computing, Singapore

Chew Lock Yue

Nanyang Technological University, Singapore

Call for Abstracts

We welcome abstracts for contributed talks on original research exploring the complexity of AI models from diverse perspectives, including methods, theories, applications, and empirical studies on the following topics related to (but not limited to):

Complexity science
Artificial intelligence
Neural networks
Statistical physics
Phase transitions
Dynamical systems
Self-organization

Important Dates

EventDate
Abstract Submission Deadline30 Apr 2026
Notification of Acceptance15 May 2026
Focus Session9-12 Jun 2026

Submission and Registration

Participants already registered for APCNCS 2026 have up till 30 Apr 2026 to submit abstracts to:

Feng Ling

felney@gmail.com

Chew Lock Yue (Prof)

lockyue@ntu.edu.sg

The programme for the focus session will be posted, and contributors notified, on 15 May 2026. All contributors must be registered for APCNCS 2026 to participate in the focus session.

Registration Requirement

All participants must register for the main APCNCS 2026 conference to attend this focus session.

Special Issue Publication

Participants of this focus session will be invited to contribute to a joint special issue on "Complexity of AI" published in:

MDPI Entropy

Special Issue on Complexity of AI

MDPI Complexities

Special Issue on Complexity of AI

Ready to Submit?

Submit your abstract by 30 Apr 2026 to participate in this focus session