SubsidieMeestersEmergent awareness from minimal collectives
EMERGE aims to develop a framework for collaborative awareness in minimal artificial agents, enabling complex cooperative behaviors without shared language or pre-defined protocols.
Projectdetails
Introduction
Awareness in biological agents has converging definitions when considering local states describing content-related consciousness from an agent-specific perspective. However, it becomes highly debated when it comes to global states. The issue magnifies when considering collectives of artificial agents.
Limitations of Existing Frameworks
Several frameworks exist, all unsatisfactory in the limitations posed to agents' heterogeneity and the disappearance of the local self into an integrated state. Ultimately, existing frameworks are ineffective in explaining, facilitating, and supporting cooperative behaviors in artificial agents.
The Challenge of Global Awareness
The lack of a compelling theory of global awareness in AI is currently a significant barrier to the effective deployment of artificial agents in the real world. EMERGE tackles this grand challenge by introducing the novel concept of collaborative awareness for collectives of minimal artificial beings.
Research Objectives
We will investigate how simple agents can develop a representation of their mutual existence, environment, and cooperative behavior towards the realization of tasks and goals. EMERGE builds on a scenario of artificial beings with no shared language and constrained individual capabilities, which nevertheless leads to high-complexity behaviors at the collective level.
Emergent Process of Collaborative Awareness
Collaborative awareness becomes an emergent process supporting complex, distributed, and loosely coupled systems capable of high degrees of collaboration, self-regulation, and interoperability without pre-defined protocols.
Framework and Applications
EMERGE delivers a philosophical, mathematical, and technological framework that enables us to know how and where to allocate awareness to achieve a goal through the collective optimally.
Demonstration and Broader Applicability
We will demonstrate EMERGE concepts on robotic use cases, with hints of broader applicability of the framework to:
- Internet of Things
- Pervasive computing
- Nanotechnologies
Ethical Implications
We will also investigate the ethical implications of collaborative awareness, focusing on moral responsibility, vulnerabilities, and trust.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.839.511 |
| Totale projectbegroting | € 2.993.261 |
Tijdlijn
| Startdatum | 1-10-2022 |
| Einddatum | 30-9-2026 |
| Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- UNIVERSITA DI PISApenvoerder
- TECHNISCHE UNIVERSITEIT DELFT
- LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
- DA VINCI LABS
- UNIVERSITY OF BRISTOL
Land(en)
Vergelijkbare projecten binnen EIC Pathfinder
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Counterfactual Assessment and Valuation for Awareness ArchitectureThe CAVAA project aims to develop a computational architecture for awareness in biological and technological systems, enhancing user experience through explainability and adaptability in various applications. | EIC Pathfinder | € 3.132.460 | 2022 | Details |
Improving social competences of virtual agents through artificial consciousness based on the Attention Schema TheoryASTOUND aims to develop an AI architecture for artificial consciousness using Attention Schema Theory to enhance social interaction and natural language understanding in machines. | EIC Pathfinder | € 3.330.897 | 2022 | Details |
Symbolic logic framework for situational awareness in mixed autonomySymAware aims to develop a comprehensive framework for situational awareness in multi-agent systems, enhancing collaboration and safety between autonomous agents and humans through advanced reasoning and risk assessment. | EIC Pathfinder | € 3.980.291 | 2022 | Details |
Context-aware adaptive visualizations for critical decision makingSYMBIOTIK aims to enhance decision-making in critical scenarios through an AI-driven, human-InfoVis interaction framework that fosters awareness and emotional intelligence. | EIC Pathfinder | € 4.485.655 | 2022 | Details |
Value-Aware Artificial IntelligenceThe VALAWAI project aims to develop a toolbox for Value-Aware AI that integrates moral consciousness to enhance ethical decision-making in social media, robotics, and medical protocols. | EIC Pathfinder | € 3.926.432 | 2022 | Details |
Counterfactual Assessment and Valuation for Awareness Architecture
The CAVAA project aims to develop a computational architecture for awareness in biological and technological systems, enhancing user experience through explainability and adaptability in various applications.
Improving social competences of virtual agents through artificial consciousness based on the Attention Schema Theory
ASTOUND aims to develop an AI architecture for artificial consciousness using Attention Schema Theory to enhance social interaction and natural language understanding in machines.
Symbolic logic framework for situational awareness in mixed autonomy
SymAware aims to develop a comprehensive framework for situational awareness in multi-agent systems, enhancing collaboration and safety between autonomous agents and humans through advanced reasoning and risk assessment.
Context-aware adaptive visualizations for critical decision making
SYMBIOTIK aims to enhance decision-making in critical scenarios through an AI-driven, human-InfoVis interaction framework that fosters awareness and emotional intelligence.
Value-Aware Artificial Intelligence
The VALAWAI project aims to develop a toolbox for Value-Aware AI that integrates moral consciousness to enhance ethical decision-making in social media, robotics, and medical protocols.
Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Human collaboration with AI agents in national health governance: organizational circumstances under which data analysts and medical experts follow or deviate from AI.This project aims to explore the socio-cultural dynamics of AI in health governance across six countries to develop a theory on ethical AI intervention and its impact on national health policies. | ERC Starting... | € 1.499.961 | 2023 | Details |
Understanding and embracing artificial agents’ impact on the social dynamics of familiesF-AI-MILY explores how family dynamics are influenced by long-term interactions with artificial agents, aiming to enhance well-being and support households dealing with chronic illness through innovative research methods. | ERC Starting... | € 1.499.930 | 2024 | Details |
Towards an Artificial Cognitive ScienceThis project aims to establish a new field of artificial cognitive science by applying cognitive psychology to enhance the learning and decision-making of advanced AI models. | ERC Starting... | € 1.496.000 | 2024 | Details |
Collaborative Machine IntelligenceCollectiveMinds aims to revolutionize machine learning by enabling decentralized, collaborative model updates to reduce resource consumption and democratize AI across various sectors. | ERC Consolid... | € 2.000.000 | 2025 | Details |
Contextual Radio Cues for Enhancing Decision Making in Networks of Autonomous AgentsThe CUE-GO project aims to enhance autonomous agents' decision-making by utilizing contextual radio cues for improved navigation, localization, and collaboration in social environments. | ERC Starting... | € 1.055.314 | 2025 | Details |
Human collaboration with AI agents in national health governance: organizational circumstances under which data analysts and medical experts follow or deviate from AI.
This project aims to explore the socio-cultural dynamics of AI in health governance across six countries to develop a theory on ethical AI intervention and its impact on national health policies.
Understanding and embracing artificial agents’ impact on the social dynamics of families
F-AI-MILY explores how family dynamics are influenced by long-term interactions with artificial agents, aiming to enhance well-being and support households dealing with chronic illness through innovative research methods.
Towards an Artificial Cognitive Science
This project aims to establish a new field of artificial cognitive science by applying cognitive psychology to enhance the learning and decision-making of advanced AI models.
Collaborative Machine Intelligence
CollectiveMinds aims to revolutionize machine learning by enabling decentralized, collaborative model updates to reduce resource consumption and democratize AI across various sectors.
Contextual Radio Cues for Enhancing Decision Making in Networks of Autonomous Agents
The CUE-GO project aims to enhance autonomous agents' decision-making by utilizing contextual radio cues for improved navigation, localization, and collaboration in social environments.