18 papers
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…
Quantifying Bitcoin Network Resilience Through Critical Scenario Discovery: A Dual-Layer Framework for Discovering Contentious Fork Conditions in Decentralized Consensus
Peter Foytik, Sachin Shetty, Ross Gore +1
Bitcoin's consensus depends not only on protocol rules but on the emergent behavior of a heterogeneous network of nodes with divergent economic stakes. Whether a contentious soft f…
Cyber Dynamics I: Finite Macrostates for Behavioral Anomaly Detection in Network Telemetry
Abdul Rahman, Eranga Bandara, Sachin Shetty
Entropy-based methods have long been used for network anomaly detection, but most existing approaches treat entropy as a scalar statistic on narrow observables rather than as part…
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…
Flowr -- Scaling Up Retail Supply Chain Operations Through Agentic AI in Large Scale Supermarket Chains
Eranga Bandara, Ross Gore, Sachin Shetty +15
Retail supply chain operations in supermarket chains involve continuous, high-volume manual workflows spanning demand forecasting, procurement, supplier coordination, and inventory…
AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments
Eranga Bandara, Asanga Gunaratna, Ross Gore +11
The accelerating adoption of large language models, retrieval-augmented generation pipelines, and multi-agent AI workflows has created a structural governance crisis. Organizations…