Machine Analytics has a broad and deep expertise in various AI techniques and tools at both the symbolic and sub-symbolic levels which includes proprietary argumentation technology.
Symbolic Level
- Rule-based Expert Systems
- Probabilistic AI (e.g. Bayesian Belief Networks, Influence DIagrams)
- Dempster-Shafer Theory of Belief Functions
- Case Based Reasoning
- Logic Programming
- Fuzzy and Possibilistic Logics
- Natural Language Processing
- Semantic Web (RDF, OWL, Description Logics)
- Symbolic Argumentation
Sub-Symbolic Level
- Artificial Neural Networks (e.g. feed forward back prop, ART, Kohonen’s SOM)
- Evolutionary Computation (e.g. ACO, Genetic Algorithms)
Temporal Modeling
- Dynamic Bayesian Networks
- Particle Filtering
- Kalman Filtering and extensions