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Parunak, H.
AxonAI, Inc.
Harrisonburg, Virginia
 
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H. Van Dyke Parunak is Vice President for Technology Innovation at AxonAI, Inc. He has extensive experience in both academic and industrial environments with chaos and complex systems, artificial intelligence, distributed computing, and human interfaces. Since 1984, he led the Agent-based and Complex Systems Research group, housed since 1984 in a variety of companies, studying swarm intelligence, emergent behavior, and nonlinear dynamics. In 2013, AxonAI was formed to commercialize these results.

His major research accomplishments include fine-grained agent architectures for a variety of manufacturing and defense functions, emphasizing applications of nonlinear dynamics and chaos theory to analyzing and controlling agent communities. He and his colleagues develop applications that take advantage of the self-organizing potential of very simple agents when they interact through a shared environment, inspired by examples in biological and ecological systems. He is the author or co-author of more than 200 technical articles and reports, and the coinventor on 13 patents in the area of agent technology.

Parunak has worked as a project designer and associate investigator at Harvard University, as an Assistant Professor and Postdoctoral Scholar at the University of Michigan, and as a computer scientist with Comshare, Inc. His research was done at the Industrial Technology Institute, ERIM, Altarum, NewVectors, TechTeam Government Solutions, Jacobs Technology Group, and Soar Technology. He received an AB in Physics from Princeton University (1969), an MS in Computer and Communication Sciences from the University of Michigan (1982), and a PhD in Near Eastern Languages and Civilizations from Harvard University (1978). He is a member of the American Association for Artificial Intelligence and the Association for Computing Machinery.

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Updated March 1, 2016

 
 
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- 10 of 36 reviews

   
   Integration with complex numbers: a primer on complex analysis
McMaster B., McCluskey A., Oxford University Press, Oxford, UK, 2022. 288 pp.  Type: Book (978-0-192846-43-3)

Complex analysis is a rich subject that can bewilder the beginning student with the nonintuitive behavior of its objects and the wide range of applications to which it has been applied. This highly readable introduction engages only a severely res...

Feb 9 2023  
   Small summaries for big data
Cormode G., Yi K., Cambridge University Press, Cambridge, UK, 2020. 278 pp.  Type: Book (978-1-108477-44-4)

One of the dominant characteristics of the current computing ecology, the abundance of information in digital form, is a two-edged sword. On the one hand, it is increasingly likely that any information of interest exists somewhere onli...

Mar 29 2022  
   Quantum techniques in stochastic mechanics
Baez J., Biamonte J., WORLD SCIENTIFIC, Singapore, Singapore, 2018. 263 pp.  Type: Book (978-9-813226-93-7)

In an increasingly specialized world, it is a rare pleasure when a book can build compelling and useful connections among widely different disciplines. This volume offers such a treat, merging physics (the mathematics of quantum field ...

Feb 12 2021  
   Taming uncertainty
Hertwig R., Pleskac T., Pachur T., Center for Adaptive Rationality ., The MIT Press, Cambridge, MA, 2019. 488 pp.  Type: Book (978-0-262039-87-1), Reviews: (2 of 2)

Humans are not the rational optimizers posited by classical economics or the axiomatic game theory of von Neumann and Morgenstern. Since 2012, the Center for Adaptive Rationality at the Max Planck Institute for Human Development in Ber...

Aug 13 2020  
   Introduction to distributed self-stabilizing algorithms
Altisen K., Devismes S., Dubois S., Petit F., Morgan&Claypool Publishers, San Rafael, CA, 2019. 166 pp.  Type: Book (978-1-681735-36-8)

Distribution is one of the most pervasive features of modern computing architectures. From the multiple specialized processors that make up a personal computer, to the network of computers in a modern automobile, to the Internet itself...

May 12 2020  
   Practical modelling of dynamic decision making
Evertsz R., Thangarajah J., Ly T., Springer International Publishing, New York, NY, 2019. 116 pp.  Type: Book (978-3-319951-94-2)

Computational models hold considerable promise for planning and prediction in applied domains such as military operations. But such models face a knowledge acquisition bottleneck when applying them to complex real-world problems. For e...

Oct 21 2019  
   Stochastic computing: techniques and applications
Gross W., Gaudet V., Springer International Publishing, New York, NY, 2019. 215 pp.  Type: Book (978-3-030037-29-1)

Stochastic computing is an approach to numerical computing that dates back to von Neumann’s work on probabilistic logics in 1952, and that requires far fewer transistors than conventional numerical processing. This economy le...

Oct 4 2019  
   The Oxford handbook of causal reasoning
Waldmann M., Oxford University Press, Inc., New York, NY, 2017. 768 pp.  Type: Book (978-0-199399-55-0)

A few years ago, Weisberg’s Willful ignorance [1] distinguished two facets of uncertainty: doubt, which is the focus of modern statistics, and ambiguity about the causal structure of the world, which researchers in man...

Dec 21 2018  
   Codes, cryptology and curves with computer algebra
Pellikaan R., Wu X., Bulygin S., Jurrius R., Cambridge University Press, New York, NY, 2018. 606 pp.  Type: Book (978-0-521520-36-2)

This volume offers a terse, highly formal exposition of the relation between the four subjects named in the title: codes (transformations of a stream of information), cryptology (transformations that seek to hide the original content),...

Sep 13 2018  
   Elements of causal inference: foundations and learning algorithms
Peters J., Janzing D., Schölkopf B., The MIT Press, Cambridge, MA, 2017. 288 pp.  Type: Book (978-0-262037-31-0)

Data-based resolution of uncertainty in science must deal with two largely orthogonal issues: doubt (the degree of belief that one has in a scientific proposition) and ambiguity (one’s understanding of the proposition). (This...

Aug 13 2018  
 
 
 
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