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cs.AI2026

Learning to Assemble Novel Structures with Unfamiliar Parts under Semantic Constraints

Jonghyuk Park, Alex Lascarides, Subramanian Ramamoorthy

This paper describes a neurosymbolic architecture for learning to assemble novel structures using evidence from embodied conversations and task demonstrations. We focus on scenario…

cs.AI2026

Human-AI Agent Interaction as a Neuroplastic Training Environment

Eranga Bandara, Ross Gore, Asanga Gunaratna +17

The paper treats everyday human‑AI interaction as a neuroplastic training environment and proposes a framework where users observe their reactive patterns during the interaction lo…

cs.AI2026

Towards an Agent-First Web: Redesigning the Web for AI Agents

Eranga Bandara, Ross Gore, Ravi Mukkamala +18

The World Wide Web was built on an assumption held for three decades: the primary consumer of web content is a human being. This permeates every layer; its access model presumes hu…

cs.AI2026

MindGap: A Conversational AI Framework for Upstream Neuroplastic Intervention in Post-Traumatic Stress Disorder

Eranga Bandara, Ross Gore, Asanga Gunaratna +16

Post-Traumatic Stress Disorder (PTSD) is fundamentally a neuroplastic problem traumatic contact events encode over-reactive neural pathways through Hebbian long-term potentiation,…

cs.AI2026

Think Before You Act -- A Neurocognitive Governance Model for Autonomous AI Agents

Eranga Bandara, Ross Gore, Asanga Gunaratna +12

The rapid deployment of autonomous AI agents across enterprise, healthcare, and safety-critical environments has created a fundamental governance gap. Existing approaches, runtime…

cs.AI2026

Toward Zero-Egress Psychiatric AI: On-Device LLM Deployment for Privacy-Preserving Mental Health Decision Support

Eranga Bandara, Asanga Gunaratna, Ross Gore +9

Privacy represents one of the most critical yet underaddressed barriers to AI adoption in mental healthcare -- particularly in high-sensitivity operational environments such as mil…