M
Megan Olsen
Researcher at Loyola University Maryland
Publications - 28
Citations - 206
Megan Olsen is an academic researcher from Loyola University Maryland. The author has contributed to research in topics: Verification and validation of computer simulation models & Metamorphic testing. The author has an hindex of 8, co-authored 26 publications receiving 178 citations. Previous affiliations of Megan Olsen include Loyola University Chicago & University of Massachusetts Amherst.
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Multiscale Agent-based Model of Tumor Angiogenesis
Megan Olsen,Hava T. Siegelmann +1 more
TL;DR: A three-dimensional multiscale agent-based model of tumor growth with angiogenesis, designed to easily adapt to various cancer types, is presented, although it focus on breast cancer.
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Making sense of information in noisy networks: human communication, gossip, and distortion.
TL;DR: An agent-based simulation model is built to examine how well simple decision rules could make sense of information as it propagated through a network and suggests that despite the distortion information is subject to in the real world, it is nevertheless possible to makesense of it based on simple Darwinian computations that integrate multiple sources.
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Robust artificial life via artificial programmed death
TL;DR: This work introduces HADES, a self-regenerating system whose agents acknowledge their ''citizenship'' or faithfulness to the good of the system and are able to monitor their environment, and introduces protocols for system robustness via the notion of active citizenship and the fundamental property of programmed death.
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Increasing Validity of Simulation Models Through Metamorphic Testing
Megan Olsen,Mohammad Raunak +1 more
TL;DR: This work proposes taking the metamorphic testing (MT) approach from the realm of software verification and applying it for validating executable simulation models, and demonstrates the successful application of MT toward validating three different simulation models: an ABM of gossip propagation, anABM of cancer, and a DES of airport check-in and security.
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Conspecific Emotional Cooperation Biases Population Dynamics: A Cellular Automata Approach
TL;DR: Simulations support the hypothesis that the acquisition of emotion may be an evolutionary result of competitive species interactions and indicate that emotions increase adaptability, help control disease, and improve survival for the species that utilizes them.