activity
20202026
most citedHuman-Artificial Interaction in the Age of Agentic AI: A System-Theoretical Approach

60 citations · 86 across the 21 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

cs.SE2025

Beyond Code Similarity: Benchmarking the Plausibility, Efficiency, and Complexity of LLM-Generated Smart Contracts

Francesco Salzano, Simone Scalabrino, Rocco Oliveto +1

Smart Contracts are critical components of blockchain ecosystems, with Solidity as the dominant programming language. While LLMs excel at general-purpose code generation, the uniqu…

cs.AI2025

Quantum Abduction: A New Paradigm for Reasoning under Uncertainty

Remo Pareschi

Abductive reasoning - the search for plausible explanations - has long been central to human inquiry, from forensics to medicine and scientific discovery. Yet formal approaches in…

cs.AI2025

From Extraction to Synthesis: Entangled Heuristics for Agent-Augmented Strategic Reasoning

Renato Ghisellini, Remo Pareschi, Marco Pedroni +1

We present a hybrid architecture for agent-augmented strategic reasoning, combining heuristic extraction, semantic activation, and compositional synthesis. Drawing on sources rangi…

cs.SE2025★ 1 cited

An empirical analysis of vulnerability detection tools for solidity smart contracts

Francesco Salzano, Cosmo Kevin Antenucci, Simone Scalabrino +3

The rapid adoption of blockchain technology highlighted the importance of ensuring the security of smart contracts due to their critical role in automated business logic execution…

cs.MA2025★ 60 cited

Human-Artificial Interaction in the Age of Agentic AI: A System-Theoretical Approach

Uwe M. Borghoff, Paolo Bottoni, Remo Pareschi

This paper presents a novel perspective on human-computer interaction (HCI), framing it as a dynamic interplay between human and computational agents within a networked system. Goi…

cs.AI2025★ 3 cited

Recommending Actionable Strategies: A Semantic Approach to Integrating Analytical Frameworks with Decision Heuristics

Renato Ghisellini, Remo Pareschi, Marco Pedroni +1

We present a novel approach for recommending actionable strategies by integrating strategic frameworks with decision heuristics through semantic analysis. While strategy frameworks…