Garrison Greenwood

Garrison Greenwood

Portland State University

H-index: 21

North America-United States

About Garrison Greenwood

Garrison Greenwood, With an exceptional h-index of 21 and a recent h-index of 8 (since 2020), a distinguished researcher at Portland State University, specializes in the field of evolvable hardware, mathematical games.

His recent articles reflect a diverse array of research interests and contributions to the field:

Interpretation of Neural Network Players for a Generalized Divide the Dollar Game Using SHAP Values

A Representation for Many Player Generalized Divide the Dollar Games

Evolving neural networks for a generalized divide the dollar game

On the Study of Human Cooperation via Computer Simulation: Why Existing Computer Models Fail to Tell Us Much of Anything

Learning and Evolution in Games

A comparison of the Moran Process and replicator equations for evolving social dilemma game strategies

The Institute of Electrical and Electronics Engineers, Inc.

Differential Evolution Optimization of the Broken Wing Butterfly Option Strategy

Garrison Greenwood Information

University

Position

ECE Department

Citations(all)

1763

Citations(since 2020)

281

Cited By

1595

hIndex(all)

21

hIndex(since 2020)

8

i10Index(all)

42

i10Index(since 2020)

7

Email

University Profile Page

Portland State University

Google Scholar

View Google Scholar Profile

Garrison Greenwood Skills & Research Interests

evolvable hardware

mathematical games

Top articles of Garrison Greenwood

Title

Journal

Author(s)

Publication Date

Interpretation of Neural Network Players for a Generalized Divide the Dollar Game Using SHAP Values

Garrison W Greenwood

Hussin Abbass

Aya Hussein

2023/12/5

A Representation for Many Player Generalized Divide the Dollar Games

Games

Garrison W Greenwood

Daniel Ashlock

2023/2/23

Evolving neural networks for a generalized divide the dollar game

Garrison W Greenwood

Daniel Ashlock

2022/7/18

On the Study of Human Cooperation via Computer Simulation: Why Existing Computer Models Fail to Tell Us Much of Anything

Garrison W Greenwood

2022/6/1

Learning and Evolution in Games

Games

Heinrich H Nax

Alberto Antonioni

Garrison Greenwood

Yuval Heller

Frank Krueger

2022

A comparison of the Moran Process and replicator equations for evolving social dilemma game strategies

Biosystems

Garrison Greenwood

Daniel Ashlock

2021/4/1

The Institute of Electrical and Electronics Engineers, Inc.

SJ KAHNE

E POLAK

A GELB

JK CULLUM

HW SORENSON

...

2021

Differential Evolution Optimization of the Broken Wing Butterfly Option Strategy

Technology and Investment

David Munoz Constantine

Richard Tymerski

Garrison Greenwood

2020/6/29

Monte Carlo Tree Search Strategies in 2-Player Iterated Prisoner Dilemma Games

Garrison W Greenwood

Daniel Ashlock

2020/8/24

See List of Professors in Garrison Greenwood University(Portland State University)