M
Michael North
Researcher at University of Greifswald
Publications - 135
Citations - 9085
Michael North is an academic researcher from University of Greifswald. The author has contributed to research in topics: Multi-agent system & Complex adaptive system. The author has an hindex of 33, co-authored 133 publications receiving 8665 citations. Previous affiliations of Michael North include University of Chicago & Argonne National Laboratory.
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Book
The Dialect of Modernism: Race, Language, and Twentieth-Century Literature
TL;DR: The authors describes the crucial role of racial masquerade and linguistic imitation in the emergence of literary modernism and describes how modernists have rebelled against the standard image, reimagining themselves as racial aliens and mimicking the strategies of dialect speakers.
Proceedings ArticleDOI
Introductory tutorial: agent-based modeling and simulation
Charles M. Macal,Michael North +1 more
TL;DR: This brief tutorial introducesAgent-based modeling and simulation by describing the basic ideas of ABS, discussing some applications, and addressing methods for developing agent-based models.
Journal ArticleDOI
AgentCell: a digital single-cell assay for bacterial chemotaxis
TL;DR: AgentCell is developed, a model using agent-based technology to study the relationship between stochastic intracellular processes and behavior of individual cells, and uses bacterial chemotaxis, one of the best characterized biological systems.
Journal ArticleDOI
Parallel agent-based simulation with Repast for High Performance Computing:
Nicholson Collier,Michael North +1 more
TL;DR: This article’s contribution is its detailed presentation of the implementation of Repast HPC as a useful and usable framework, a complete ABMS platform developed explicitly for larger-scale distributed computing systems that leverages modern C++ techniques and the ReLogo language.
Proceedings ArticleDOI
Agent-based modeling and simulation: desktop ABMS
Charles M. Macal,Michael North +1 more
TL;DR: This tutorial describes the theoretical and practical foundations of ABMS, identifies toolkits and methods for developing agent models, and illustrates the development of a simple agent-based model of shopper behavior using spreadsheets.