271 citations · 406 across the 10 of their papers we have counts for
11 papers
The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models
Rafael Kaufmann, Felix Neubürger, Michael Walters +2
This project introduces the CRISTAL Method (Coherent Reliable Intentional Synthesis of Truthful Analysis Logic), a neurosymbolic framework for automating complex analysis workflows…
An empirical evaluation of active inference in multi-armed bandits
Dimitrije Markovic, Hrvoje Stojic, Sarah Schwoebel +1
A key feature of sequential decision making under uncertainty is a need to balance between exploiting--choosing the best action according to the current knowledge, and exploring--o…
Neuronal Sequence Models for Bayesian Online Inference
Sascha Frölich, Dimitrije Marković, Stefan J. Kiebel
Sequential neuronal activity underlies a wide range of processes in the brain. Neuroscientific evidence for neuronal sequences has been reported in domains as diverse as perception…
Body movement to sound interface with vector autoregressive hierarchical hidden Markov models
Dimitrije Marković, Borjana Valčić, Nebojša Malešević
Interfacing a kinetic action of a person to an action of a machine system is an important research topic in many application areas. One of the key factors for intimate human-machin…
Power laws and Self-Organized Criticality in Theory and Nature
Dimitrije Markovic, Claudius Gros
Power laws and distributions with heavy tails are common features of many experimentally studied complex systems, like the distribution of the sizes of earthquakes and solar flares…
Observing scale-invariance in non-critical dynamical systems
Claudius Gros, Dimitrije Markovic
Recent observation for scale invariant neural avalanches in the brain have been discussed in details in the scientific literature. We point out, that these results do not necessari…
Neuropsychological constraints to human data production on a global scale
Claudius Gros, Gregor Kaczor, Dimitrije Markovic
Which are the factors underlying human information production on a global level? In order to gain an insight into this question we study a corpus of 252-633 Million publicly availa…
Intrinsic adaptation in autonomous recurrent neural networks
Dimitrije Markovic, Claudius Gros
A massively recurrent neural network responds on one side to input stimuli and is autonomously active, on the other side, in the absence of sensory inputs. Stimuli and information…
Criticality in conserved dynamical systems: Experimental observation vs. exact properties
Dimitrije Markovic, Andre Schuelein, Claudius Gros
Conserved dynamical systems are generally considered to be critical. We study a class of critical routing models, equivalent to random maps, which can be solved rigorously in the t…
Self-organized chaos through polyhomeostatic optimization
Dimitrije Markovic, Claudius Gros
The goal of polyhomeostatic control is to achieve a certain target distribution of behaviors, in contrast to polyhomeostatic regulation which aims at stabilizing a steady-state dyn…
Vertex routing models
Dimitrije Markovic, Claudius Gros
A class of models describing the flow of information within networks via routing processes is proposed and investigated, concentrating on the effects of memory traces on the global…