activity
20042022
most citedNeural-Symbolic Learning and Reasoning: A Survey and Interpretation

241 citations · 259 across the 5 of their papers we have counts for

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7 papers · 1 filter

cs.AI2022

Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs

Timon Felske, Stefan Lüdtke, Sebastian Bader +1

We study sensor-based human activity recognition in manual work processes like assembly tasks. In such processes, the system states often have a rich structure, involving object pr…

cs.AI20212 cited

SimDem A Multi-agent Simulation Environment to Model Persons with Dementia and their Assistance

Muhammad Salman Shaukat, Bjarne Christian Hiller, Sebastian Bader +1

Developing artificial intelligence based assistive systems to aid Persons with Dementia (PwD) requires large amounts of training data. However, data collection poses ethical, legal…

cs.AI2018

State-Space Abstractions for Probabilistic Inference: A Systematic Review

Stefan Lüdtke, Max Schröder, Frank Krüger +2

Tasks such as social network analysis, human behavior recognition, or modeling biochemical reactions, can be solved elegantly by using the probabilistic inference framework. Howeve…

cs.AI2017241 cited

Neural-Symbolic Learning and Reasoning: A Survey and Interpretation

Tarek R. Besold, Artur d'Avila Garcez, Sebastian Bader +11

The study and understanding of human behaviour is relevant to computer science, artificial intelligence, neural computation, cognitive science, philosophy, psychology, and several…

cs.AI20172 cited

Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems

Max Schröder, Stefan Lüdtke, Sebastian Bader +2

Bayesian Filtering for plan and activity recognition is challenging for scenarios that contain many observation equivalent entities (i.e. entities that produce the same observation…

cs.AI2005

Dimensions of Neural-symbolic Integration - A Structured Survey

Sebastian Bader, Pascal Hitzler

Research on integrated neural-symbolic systems has made significant progress in the recent past. In particular the understanding of ways to deal with symbolic knowledge within conn…