When intelligence is distributed across many parts, be they robots, devices, or objects, it can be tricky for the bigger picture to emerge. Yet answering these questions is key to making collective systems that are easy to design, monitor and control.

EMERGE will deliver a new philosophical, mathematical, and technological framework to demonstrate, both theoretically and experimentally, how a collaborative awareness – a representation of shared existence, environment and goals – can arise from the interactions of elemental artificial entities.

In this effort, we will rely only on unstructured conditions that the real world demands without leveraging a pre-existing shared language between them. Our goal is to surpass the limitations and barriers of the current state-of-the-art distributed systems to produce breakthroughs and open new markets in the next generation of robotic systems.

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Latest News

Publication: Adapting language models with continual learning for temporal drifts

Publication: Adapting language models with continual learning for temporal drifts

Calendar28 March 2026

In this study, EMERGE partners from the University of Pisa address the challenge of keeping LLMs up to date with factual knowledge (adaptation) while avoiding forgetting the relevant existing knowledge.

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Publication: Mental Models in Human-AI Interaction: Systematic Review of Empirical Methodologies and Guidelines

Publication: Mental Models in Human-AI Interaction: Systematic Review of Empirical Methodologies and Guidelines

Calendar22 March 2026

In this work, EMERGE partners from the Ludwig Maximilian University of Munich systematically review 88 empirical studies that elicit humans’ mental models of AI systems.

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Publication: Evaluating Online Moderation Via LLM-Powered Counterfactual Simulations

Publication: Evaluating Online Moderation Via LLM-Powered Counterfactual Simulations

Calendar14 March 2026

In this study, EMERGE partners from the University of Pisa designed a LLM-powered simulator of Online Social Networks conversations enabling a parallel, counterfactual simulation where toxic behavior is influenced by moderation interventions, keeping all else equal.

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Partners

The EMERGE consortium brings together the University of Pisa (Italy), Ludwig Maximilian University of Munich (Germany), Delft University of Technology (Netherlands), University of Bristol (United Kingdom), and Da Vinci Labs (France).

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