About us

The Sixth International Workshop on Logics and Argumentation for New-Generation Artificial Intelligence (LNGAI 2026) focuses on the interaction between symbolic and subsymbolic forms of argumentation reasoning in agentic AI systems. It studies how subsymbolic models like neural and large language models can generate or support argumentation, and how formal and computational argumentation can analyze and verify reasoning produced by learning-based models. It specifically highlights hybrid and neuro-symbolic approaches for reliable and interpretable AI.

Important Dates

Mon, Jul 6, 2026

Submission deadline

Paper Submission

Research Paper Submission Tracks

LLM-assisted generation of logical representations, arguments, and reasoning structures

Logical and argumentation-based analysis of reasoning generated by language models

Computational argumentation for guiding, constraining, and explaining language-model-based systems

Hybrid and neuro-symbolic architectures combining language models with symbolic reasoning

Neuro-symbolic knowledge representation and reasoning methods for language models

Knowledge injection into, and extraction from, language models

Commonsense reasoning integrating language models with knowledge representation and reasoning

Argumentation, deliberation, negotiation, and dialogical reasoning with language-model-based agents

Reasoning about agency, autonomy, and learning in systems built with language models

Planning, action, and decision-making in agentic systems and workflows

Logical and computational models of generative agents

Cooperation, coordination, and communication in multi-agent systems involving generative agents

Logic-based verification, safety, and controllability of language-model-based and agentic systems

Logics for reasoning about knowledge, beliefs, goals, intentions, actions, and plans

Non-monotonic, defeasible, and uncertain reasoning in language-model-based and agent-based systems

Verification and formal analysis of agents and multi-agent systems

Argumentation-based explanation and interpretable reasoning

Normative reasoning and applications in machine ethics and AI & Law

Call for Papers Description

We invite two types of submissions: Full papers (within 16 pages excluding bibliography) describing original and unpublished work; Extended abstracts (within 6 pages excluding bibliography) of preliminary original work.