OntoAgentic AI · ACS 2026
Topics of Interest
Topics include, but are not limited to:
Symbolic Orchestration
Symbolic and cognitive architectures as orchestrators of agentic systems
Neurosymbolic Integration
Neurosymbolic integration in which the symbolic layer holds epistemic control
LLMs as Bounded Tools
Disambiguation, generation, perceptual interpretation, knowledge bootstrapping
Knowledge Acquisition & Validation
LLM-assisted knowledge acquisition and semantic validation of machine-proposed knowledge
Cognitive Robotics
Ontologically grounded perception, planning, and dual-process control
Human-Robot Teaming
Human-robot and human-AI teaming; theory of mind and belief modeling
Genuine Explainability
Grounded in the agent's actual reasoning—not post-hoc rationalization
Formal Verification
Formal verification of agent behavior
Lifelong Learning
Cumulative learning versus retraining and in-context adaptation
Comparative Evaluation
Evaluation of symbolic and LLM orchestrators on shared tasks
Benchmarks & Infrastructure
Shared infrastructure and evaluation methodology for the community
Trust & Safety
Trust, safety, and accountability in agentic and embodied systems
Position Statements
Position statements and challenge problems