Ilja Rausch

(2021)

Conference Paper
C1
open access

Facilitating the analysis of COVID-19 literature through a knowledge graph

Bram Steenwinckel (UGent) , Gilles Vandewiele (UGent) , Ilja Rausch, Pieter Heyvaert (UGent) , Ruben Taelman (UGent) , Pieter Colpaert (UGent) , Pieter Simoens (UGent) , Anastasia Dimou (UGent) , Filip De Turck (UGent) and Femke Ongenae (UGent)

(2020) The semantic web : ISWC 2020. In Lecture Notes in Computer Science 12507. p.344-357

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Conference Paper
C1
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Construction task allocation through the collective perception of a dynamic environment

Yara Khaluf (UGent) , M. Allwright, Ilja Rausch, Pieter Simoens (UGent) and M. Dorigo

(2020) Swarm Intelligence 12th International Conference, ANTS 2020. In Lecture notes in computer science p.82-95

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Journal Article
A2
open access

Adaptive foraging in dynamic environments using scale-free interaction networks

Ilja Rausch, Pieter Simoens (UGent) and Yara Khaluf (UGent)

(2020) FRONTIERS IN ROBOTICS AND AI. 7.

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Modeling the influence of social feedback on altruism using multi-agent systems

Ilja Rausch, Johannes Nauta, Pieter Simoens (UGent) and Yara Khaluf (UGent)

(2020) ALIFE2020, the 2020 Conference on Artificial Life, Proceedings. p.727-735

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P1
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Collective decision-making on triadic graphs

Ilja Rausch, Yara Khaluf (UGent) and Pieter Simoens (UGent)

(2020) Complex networks XI : proceedings of the 11th Conference on Complex Networks CompleNet 2020. In Springer Proceedings in Complexity p.119-130

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Coherent collective behaviour emerging from decentralised balancing of social feedback and noise

Ilja Rausch, Andreagiovanni Reina, Pieter Simoens (UGent) and Yara Khaluf (UGent)

(2019) SWARM INTELLIGENCE. 13(3-4). p.321-345

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Scale-free features in collective robot foraging

Ilja Rausch, Yara Khaluf (UGent) and Pieter Simoens (UGent)

(2019) APPLIED SCIENCES-BASEL. 9(13).

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Applying scale-invariant dynamics to improve consensus achievement of agents in motion

Ilja Rausch, Yara Khaluf (UGent) and Pieter Simoens (UGent)

(2019) DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE. In Advances in Intelligent Systems and Computing 801. p.344-348

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The impact of interaction models on the coherence of collective decision-making : a case study with simulated locusts

Yara Khaluf (UGent) , Ilja Rausch and Pieter Simoens (UGent)

(2018) p.252-263

Academic Bibliography

Ilja Rausch

From proximity to complexity : impact of network topology in dynamic collective AI

Facilitating the analysis of COVID-19 literature through a knowledge graph

Construction task allocation through the collective perception of a dynamic environment

Adaptive foraging in dynamic environments using scale-free interaction networks

Modeling the influence of social feedback on altruism using multi-agent systems

Collective decision-making on triadic graphs

Coherent collective behaviour emerging from decentralised balancing of social feedback and noise

Scale-free features in collective robot foraging

Applying scale-invariant dynamics to improve consensus achievement of agents in motion

The impact of interaction models on the coherence of collective decision-making : a case study with simulated locusts

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