Displaying 27 resources
Tutorial/How To/Guides Tutorial/How To/Guides

Learning Agents in AI

Learning agents are a shining example of scientific advancement in the field of artificial intelligence.

Category
Reasoning Techniques
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e
Professional development resources for teachers/educators Professional development resources for teachers/educators
Tutorial/How To/Guides Tutorial/How To/Guides

Reasoning Mechanisms in AI

Artificial Intelligence (AI) systems are designed to mimic human intelligence and decision-making processes, and reasoning is a critical component of these capabilities.

Category
Reasoning Techniques
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e
Professional development resources for teachers/educators Professional development resources for teachers/educators
Tutorial/How To/Guides Tutorial/How To/Guides

Types of Reasoning in Artificial Intelligence

In today's tech-driven world, machines are being designed to mimic human intelligence and actions.

Category
Reasoning Techniques
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e
Certification Certification
White paper White paper

Loremipsum

Quae cum dixisset, finem ille. Quamquam non negatis nos intellegere quid sit voluptas, sed quid ille dicat. Progredientibus autem aetatibus sensim tardeve potius quasi nosmet ipsos cognoscimus. Gloriosa ostentatio in constituendo summo bono.

Category
Data and AI Platforms, Reasoning Techniques, Systems, methodologies, hardware, and tools
Target audience
Other, Private Sector, Researchers and Academic
Source
Adra-e
Case studies Case studies

Digital environment – Version 1.0

This is deliverable 1.2 of the AI4REALNET project.

Category
Human centric AI, Public reports, Action and Interaction Technologies, Experiment and Deployment, Reasoning and decision-making Technologies
Target audience
ADR Experts and Associations, professionals, Researchers and Academic
Source
Adra-e
Case studies Case studies

AI fundamental blocks – beta release

This is the deliverable 2.2 of the AI4REALNET project. This work package objective consists on developing the AI fundamental blocks for augmented decision-making, namely novel AI algorithms for large-scale sequential decision-making problems.

Category
Human centric AI, Public reports, Action and Interaction Technologies, Data for AI, Experiment and Deployment, Reasoning and decision-making Technologies
Target audience
ADR Experts and Associations, professionals, Researchers and Academic
Source
Adra-e