arXiv subjects

Nafiul I. Khan

Publications and source records attributed to Nafiul I. Khan.

3 recordsLinked to original sources

arXiv2026

From Product-Centred Retrieval to Experience-Led Commerce:Twelve Candidate Design Principles for Fashion E-Commerce User Experience

This paper proposes twelve candidate Experience-Led Commerce design principles for high-constraint, relational fashion e-commerce, surfaced through design-led induction while building VogueDrop, a multi-vendor prototype. The principles address multi-entry discovery, experience continuity, relational exploration, preference sovereignty, evidence-scoped correspondence, recommendation-time feasibility, customer-compatible commercial ranking, adaptive but stable workspaces, attributable transaction authority, outcome-linked learning, shared composition authoring, and accountable human to agent handoff. The paper uses fashion as an intentionally bounded domain in which fit, composition, material, identity-sensitive preference, seller fragmentation, visual correspondence, and delivery timing make the interaction breakdown observable; it does not claim universal applicability across e-commerce. Each candidate principle is paired with a prespecified hypothesis, primary behavioural outcome, and rejection condition. A formative critical-incident study and a preregistered matched-interface experiment are specified, with user-experience and platform-facing outcomes reported separately. No empirical superiority is claimed before those studies are completed.

cs.HC↗

arXiv2025

A Gossip-Enhanced Communication Substrate for Agentic AI: Toward Decentralized Coordination in Large-Scale Multi-Agent Systems

As agentic platforms scale, agents are moving beyond fixed roles and predefined toolchains, creating an urgent need for flexible and decentralized coordination. Current structured communication protocols such as direct agent-to-agent messaging or MCP-style tool calls offer reliability, but they struggle to support the emergent and swarm-like intelligence required in large adaptive systems. Distributed agents must learn continuously, share context fluidly, and coordinate without depending solely on central planners. This paper revisits gossip protocols as a complementary substrate for agentic communication. Gossip mechanisms, long valued in distributed systems for their decentralized and fault-tolerant properties, provide scalable and adaptive diffusion of knowledge and fill gaps that structured protocols alone cannot efficiently address. However, gossip also introduces challenges, including semantic relevance, temporal staleness, and limited guarantees on action consistency in rapidly changing environments. We examine how gossip can support context-rich state propagation, resilient coordination under uncertainty, and emergent global awareness. We also outline open problems around semantic filtering, trust, and knowledge decay. Rather than proposing a complete framework, this paper presents a research agenda for integrating gossip into multi-agent communication stacks and argues that gossip is essential for future agentic ecosystems that must remain robust, adaptive, and self-organizing as their scale and autonomy increase.

cs.MA↗

arXiv2025

Revisiting Gossip Protocols: A Vision for Emergent Coordination in Agentic Multi-Agent Systems

As agentic platforms scale, agents are evolving beyond static roles and fixed toolchains, creating a growing need for flexible, decentralized coordination. Today's structured communication protocols (e.g., direct agent-to-agent messaging) excel at reliability and task delegation, but they fall short in enabling emergent, swarm-like intelligence, where distributed agents continuously learn, adapt, and communicate to form collective cognition. This paper revisits gossip protocols, long valued in distributed systems for their fault tolerance and decentralization, and argues that they offer a missing layer for context-rich, adaptive communication in agentic AI. Gossip enables scalable, low-overhead dissemination of shared knowledge, but also raises unresolved challenges around semantic filtering, staleness, trustworthiness, and consistency in high-stakes environments. Rather than proposing a new framework, this work charts a research agenda for integrating gossip as a complementary substrate alongside structured protocols. We identify critical gaps in current agent-to-agent architectures, highlight where gossip could reshape assumptions about coordination, and outline open questions around intent propagation, knowledge decay, and peer-to-peer trust. Gossip is not a silver bullet, but overlooking it risks missing a key path toward resilient, reflexive, and self-organizing multi-agent systems.

cs.MA↗