Search Results for author:
Found 12 papers, 3 papers with code
Fast Classification Learning with Neural Networks and Conceptors for Speech Recognition and Car Driving Maneuvers
Recurrent neural networks are a powerful means in diverse applications.
Negation in Cognitive Reasoning
In this paper, we describe an effective procedure to determine the negated event or property in order to replace it by its inverse.
Using ConceptNet to Teach Common Sense to an Automated Theorem Prover
The CoRg system is a system to solve commonsense reasoning problems.
The Power of Linear Recurrent Neural Networks
Recurrent neural networks are a powerful means to cope with time series.
RoboCupSimData: A RoboCup soccer research dataset
These data are made available as CSV files, as well as in the original soccer simulator formats.
Analysing Soccer Games with Clustering and Conceptors
With the proposed approach, we can segment games into sequences of situations that are learnt in an unsupervised way, and learn conceptors that are useful for the prediction of the near future of the respective situation.
Neural Networks and Continuous Time
The fields of neural computation and artificial neural networks have developed much in the last decades.
The RatioLog Project: Rational Extensions of Logical Reasoning
Moreover, we use integrated case-based reasoning and machine learning techniques on the basis of the semantic structure of the questions and answer candidates to learn giving the right answers.
Automated Reasoning for Robot Ethics
Deontic logic is a very well researched branch of mathematical logic and philosophy.
Automated Reasoning in Deontic Logic
Deontic logic is a very well researched branch of mathematical logic and philosophy.
Cognitive Systems and Question Answering
This paper briefly characterizes the field of cognitive computing.
David Poole's Specificity Revised
In the middle of the 1980s, David Poole introduced a semantical, model-theoretic notion of specificity to the artificial-intelligence community.
