By Professor Michael Thielscher

Preprints

Le T; Thielscher M, 2026, EmoLASP: Emotion Recognition with Language Models and Answer Set Programming, https://arxiv.org/abs/2608.29035v1

Thielscher M; Son TC, 2026, A Study of Belief Revision Postulates in Multi-Agent Systems (Extended Version), http://dx.doi.org/10.48550/arxiv.2605.02249

He Y; Thielscher M, 2026, An ASP-based approach to Solving General Stochastic Two-Player Games, http://dx.doi.org/10.48550/arxiv.2605.23705

He Y; Mittelmann M; Murano A; Saffidine A; Thielscher M, 2025, Repairing General Game Descriptions (extended version), http://dx.doi.org/10.48550/arxiv.2508.10438

Luong K; Thielscher M, 2024, Hierarchically Gated Experts for Efficient Online Continual Learning, http://dx.doi.org/10.48550/arxiv.2412.17188

Hengst B; Pagnucco M; Rajaratnam D; Sammut C; Thielscher M, 2023, Online Learning and Planning in Cognitive Hierarchies, http://dx.doi.org/10.48550/arxiv.2310.12386

Cunanan M; Thielscher M, 2023, On Optimal Strategies for Wordle and General Guessing Games, http://dx.doi.org/10.48550/arxiv.2305.09111

Hengst B; Pagnucco M; Rajaratnam D; Sammut C; Thielscher M, 2018, Perceptual Context in Cognitive Hierarchies, http://dx.doi.org/10.48550/arxiv.1801.02270

Drescher C; Thielscher M, 2011, ALPprolog --- A New Logic Programming Method for Dynamic Domains, http://dx.doi.org/10.48550/arxiv.1107.5242

Thielscher M, 2004, FLUX: A Logic Programming Method for Reasoning Agents, http://dx.doi.org/10.48550/arxiv.cs/0408044

Si Y; Gong S; Thielscher M; Bateman H; Li B; Chen S; Wang D; An R; Meng Y; Zhang H; An S; Zu J; Su M; Miao Y; Zhou Z; Fan X; Mao L; Chen X; Chen G, Patient-Facing AI Chatbots vs Primary Care Physicians: A Standardized Patient Field Experiment in China, http://dx.doi.org/10.21203/rs.3.rs-9988886/v1

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