SubsidieMeestersSymbolic 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.
Projectdetails
Introduction
SymAware addresses the fundamental need for a new conceptual framework for awareness in multi-agent systems (MASs) that is compatible with the internal models and specifications of robotic agents. This framework enables safe simultaneous operation of collaborating autonomous agents and humans. The goal of SymAware is to provide a comprehensive framework for situational awareness to support sustainable autonomy via agents that actively perceive risks and collaborate with other robots and humans to improve their awareness and understanding, while fulfilling complex and dynamically changing tasks.
Framework Components
The SymAware framework will use various methodologies to characterize and support situational awareness of MAS in its various dimensions. These methodologies include:
- Compositional logic
- Symbolic computations
- Formal reasoning
- Uncertainty quantification
The framework aims to sustain awareness by learning in social contexts, quantifying risks based on limited knowledge, and formulating risk-aware negotiation of task distributions.
Objectives
These objectives will be achieved in SymAware through the following approaches:
a. Logical characterization of awareness using symbolic methods
b. Quantifying the symbolic reasoning for awareness with spatial and temporal ingredients for decision making
c. Risk awareness via quantified knowledge
d. Quantifying and communicating knowledge awareness
e. Demonstrating awareness engineering in aviation and automotive use cases
f. Identifying requirements for ethical and trustworthy awareness in human-agent interaction
Alignment with EIC Challenge
The objectives of SymAware address the "Awareness Inside" Challenge of EIC by:
- Extending and formalizing human-based models of situational awareness
- Providing a novel conceptual situational awareness framework for MASs
This framework encompasses logical characterization and integrative formal reasoning of interdependent awareness dimensions, including knowledge, spatiotemporal, risk, and social dimensions. This will support transitioning to safe mixed operation of autonomous agents and humans.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 3.980.291 |
| Totale projectbegroting | € 3.980.291 |
Tijdlijn
| Startdatum | 1-10-2022 |
| Einddatum | 30-9-2025 |
| Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EVpenvoerder
- TECHNISCHE UNIVERSITEIT EINDHOVEN
- KUNGLIGA TEKNISKA HOEGSKOLAN
- UPPSALA UNIVERSITET
- STICHTING KONINKLIJK NEDERLANDS LUCHT - EN RUIMTEVAARTCENTRUM
- SIEMENS INDUSTRY SOFTWARE NETHERLANDS BV
Land(en)
Vergelijkbare projecten binnen EIC Pathfinder
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
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 |
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 |
Emergent awareness from minimal collectivesEMERGE aims to develop a framework for collaborative awareness in minimal artificial agents, enabling complex cooperative behaviors without shared language or pre-defined protocols. | EIC Pathfinder | € 2.839.511 | 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 |
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 |
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.
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.
Emergent 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.
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.
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 |
|---|---|---|---|---|
Autonomous Robots with Common SenseThis project aims to develop an 'Artificial Physical Awareness' autopilot system for autonomous robots, enabling them to operate safely and effectively despite failures by understanding their limitations. | ERC Consolid... | € 1.996.040 | 2024 | Details |
Breaching the boundaries of safety and intelligence in autonomous systems with risk-based rationalityThis project aims to develop a comprehensive risk-based autonomy framework for autonomous systems, enhancing safety and decision-making in marine environments through advanced modeling and human supervision. | ERC Advanced... | € 2.499.773 | 2025 | Details |
Deep Probabilistic LogicsThe project aims to establish foundational principles for Neurosymbolic AI by integrating logic, probability, and neural networks into a versatile framework, DEEPLOG, to enhance learning and reasoning systems. | ERC Advanced... | € 2.500.000 | 2024 | Details |
Intuitive interaction for robots among humansThe INTERACT project aims to enable mobile robots to safely and intuitively interact with humans in complex environments through innovative motion planning and machine learning techniques. | ERC Starting... | € 1.499.999 | 2022 | Details |
SUrrogate measures for SAFE autonomous and connected mobilitySUperSAFE aims to develop a proactive safety evaluation method for the interaction between conventional and connected automated vehicles to enhance traffic safety and support European zero-fatality goals. | ERC Starting... | € 1.500.000 | 2023 | Details |
Autonomous Robots with Common Sense
This project aims to develop an 'Artificial Physical Awareness' autopilot system for autonomous robots, enabling them to operate safely and effectively despite failures by understanding their limitations.
Breaching the boundaries of safety and intelligence in autonomous systems with risk-based rationality
This project aims to develop a comprehensive risk-based autonomy framework for autonomous systems, enhancing safety and decision-making in marine environments through advanced modeling and human supervision.
Deep Probabilistic Logics
The project aims to establish foundational principles for Neurosymbolic AI by integrating logic, probability, and neural networks into a versatile framework, DEEPLOG, to enhance learning and reasoning systems.
Intuitive interaction for robots among humans
The INTERACT project aims to enable mobile robots to safely and intuitively interact with humans in complex environments through innovative motion planning and machine learning techniques.
SUrrogate measures for SAFE autonomous and connected mobility
SUperSAFE aims to develop a proactive safety evaluation method for the interaction between conventional and connected automated vehicles to enhance traffic safety and support European zero-fatality goals.