Works (54)

Updated: April 3rd, 2024 16:54

2023 journal article

A GENERALIZATION OF THRESHOLD-BASED AND PROBABILITY-BASED MODELS OF INFORMATION DIFFUSION

ADVANCES IN COMPLEX SYSTEMS, 26(02).

author keywords: Scale-free networks; information diffusion; agent-based models
Sources: Web Of Science, NC State University Libraries, ORCID
Added: October 30, 2023

2023 journal article

Classification of social media users with generalized functional data analysis

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 179.

author keywords: Functional data; Classification; Binary series; Social media
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: November 5, 2022

2023 journal article

Special Section on "Inverse Generative Social Science": Guest Editors? Statement

JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 26(2).

By: J. Epstein*, I. Garibay*, E. Hatna*, M. Koehler* & W. Rand n

author keywords: Inverse Generative Social Science; Agent-Based Models; Evolutionary Computation; Genetic Pro-gramming
Sources: Web Of Science, NC State University Libraries
Added: May 1, 2023

2023 review

Two decades of agent-based modeling in marketing: a bibliometric analysis

[Review of ]. PROGRESS IN ARTIFICIAL INTELLIGENCE, 12(3), 213–229.

author keywords: Agent-based modeling; Marketing; Social networks; Simulation; Bibliometric analysis
TL;DR: An updated bibliometric analysis on agent-based modeling in marketing in the last 2 decades is provided to provide both a performance and a science mapping analysis. (via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 21, 2023

2022 article

Entropy-Based Characterization of Influence Pathways in Traditional and Social Media

2022 IEEE 8TH INTERNATIONAL CONFERENCE ON COLLABORATION AND INTERNET COMPUTING, CIC, pp. 38–44.

TL;DR: This paper envision leveraging the concept of influence cascades in conjunction with a novel geopolitical news-centric model of the information ecosystem in order to better understand the influence pathways by which various types of information propagate across the social and traditional hybrid media environment. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: June 19, 2023

2022 article

Evolution of Intent and Social Influence Networks and Their Significance in Detecting COVID-19 Disinformation Actors on Social Media

SOCIAL, CULTURAL, AND BEHAVIORAL MODELING (SBP-BRIMS 2022), Vol. 13558, pp. 24–34.

Contributors: C. Gunaratne*, D. De*, G. Thakur*, C. Senevirathna*, W. Rand n, M. Smyth*, M. Lipscomb*

author keywords: Disinformation; Misinformation; COVID-19; Intent; Social influence; Twitter; Transfer entropy; Information theory
TL;DR: An information theoretic measure to quantify social media user intent is introduced, and the corroboration of intent with evolution of the social network and detection of disinformation actors related to COVID-19 discussions on Twitter are investigated. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: November 7, 2022

2022 journal article

Simplicity is not key: Understanding firm-generated social media images and consumer liking

INTERNATIONAL JOURNAL OF RESEARCH IN MARKETING, 39(3), 639–655.

By: G. Overgoor*, W. Rand n, W. Dolen* & M. Mazloom*

Contributors: G. Overgoor*, W. Rand n, W. Dolen* & M. Mazloom*

author keywords: Social Media; Visual Complexity; Deep Learning; Image Analytics; Convolutional Neural Networks
Sources: Web Of Science, NC State University Libraries, ORCID
Added: October 11, 2022

2021 journal article

Agent-based modeling of new product market diffusion: an overview of strengths and criticisms

ANNALS OF OPERATIONS RESEARCH, 305(1-2), 425–447.

Contributors: W. Rand n & C. Stummer*

author keywords: Complex systems; Agent‐ based modeling; New product diffusion; Market simulation; Overview
TL;DR: This paper aims to encourage researchers in the field of innovation management, as well as practitioners, to consider agent-based modeling and simulation as a method for gaining deeper insights into market behavior and making better-informed decisions. (via Semantic Scholar)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: February 11, 2021

2021 journal article

Apart we ride together: The motivations behind users of mixed-reality sports

JOURNAL OF BUSINESS RESEARCH, 134, 316–328.

By: D. Westmattelmann, J. Grotenhermen, M. Sprenger, W. Rand & G. Schewe

Contributors: D. Westmattelmann, J. Grotenhermen, M. Sprenger, W. Rand & G. Schewe

author keywords: User motivation; Mixed-reality; Virtual sport; Task factors; Social network
TL;DR: The results reveal that utilitarian benefits relate to the task-purposes of health consciousness and training, while hedonic benefits relates to training, customizing and socializing, but subgroup-specific differences are observed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 23, 2021

2021 journal article

Inferring mechanisms of response prioritization on social media under information overload

SCIENTIFIC REPORTS, 11(1).

MeSH headings : Humans; Models, Theoretical; Social Media
TL;DR: This study investigates properties contributing to the visibility of online social media notifications by highly active users experiencing information overload via cross-platform social influence and investigates nine characteristics of online messages that may contribute to the prioritization of messages for response. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: April 12, 2021

2021 journal article

Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media

ENTROPY, 23(2).

author keywords: influence cascades; transfer entropy; online social networks; cross platforms; cryptocurrency; cyber-vulnerability
TL;DR: The results show that characteristics of influence cascades and patterns of influence are, in fact, affected by the platform and the community of the users. (via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: January 29, 2021

2021 journal article

Real-Time Brand Reputation Tracking Using Social Media

JOURNAL OF MARKETING, 85(4), 21–43.

By: R. Rust, W. Rand, M. Huang, A. Stephen, G. Brooks & T. Chabuk

Contributors: R. Rust, W. Rand, M. Huang, A. Stephen, G. Brooks & T. Chabuk

author keywords: brand driver; brand reputation tracker; corporate reputation; customer equity; relationship driver; social media mining; Twitter; value driver
TL;DR: A new social media–based brand reputation tracker is developed by mining Twitter comments for the world’s top 100 brands using Rust–Zeithaml–Lemon's value–brand–relationship framework, on a weekly, monthly, and quarterly basis. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: July 6, 2021

2020 journal article

Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks

ArXiv. https://publons.com/wos-op/publon/48244600/

Contributors: I. Garibay, T. Oghaz, N. Yousefi, E. Mutlu, M. Schiappa, S. Scheinert, G. Anagnostopoulos, C. Bouwens ...

Source: ORCID
Added: February 4, 2023

2020 journal article

Is the Grass Greener? On the Strategic Implications of Moving Along the Value Chain for IT Service Providers

INFORMATION SYSTEMS RESEARCH, 31(1), 148–175.

By: A. Gopal*, S. Karmegam*, B. Koka* & W. Rand n

Contributors: A. Gopal*, S. Karmegam*, B. Koka* & W. Rand n

author keywords: IT services; service providers; agent-based models; strategic orientation; resources; competitive analysis; value chain analysis
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, ORCID
Added: April 27, 2020

2020 journal article

The effects of information overload on online conversation dynamics

COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY, 26(2), 255–276.

author keywords: Information Overload; Diffusion of Information; Conversation; Information Cascades; Online Social Media; Twitter
TL;DR: A mechanistic, agent-based model of information overload is introduced and it is found that conversation volume and participation are lowest under high information overload thresholds and mid-range rates of information loss. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 3, 2020

2019 journal article

Characterising climate change discourse on social media during extreme weather events

GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 54, 50–60.

Contributors: N. Roxburgh*, D. Guan*, K. Shin, W. Rand n, S. Managi, R. Lovelace*, J. Meng*

author keywords: Twitter; Climate change; Extreme weather; Social media; Public perception
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 4, 2019

2019 journal article

Inferring models of opinion dynamics from aggregated jury data

PLOS ONE, 14(7).

By: K. Burghardt*, W. Rand n & M. Girvan*

Contributors: K. Burghardt*, W. Rand n & M. Girvan*

MeSH headings : Criminal Law / ethics; Criminal Law / statistics & numerical data; Decision Making; Female; Group Processes; Guilt; Humans; Judicial Role; Legal Services / ethics; Legal Services / statistics & numerical data; Male; Models, Psychological; Time Factors
TL;DR: In this best-fit model, jurors influence each other and have an increasing tendency to stick to their opinion of the defendant’s guilt or innocence, suggesting that both stubbornness and herding play an important role in collective decision-making. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: September 30, 2019

2019 journal article

Letting the Computers Take Over: Using AI to Solve Marketing Problems

CALIFORNIA MANAGEMENT REVIEW, 61(4), 156–185.

author keywords: artificial intelligence; analytics; marketing; social networks; social media
TL;DR: The use of AI to provide support for marketing decisions is discussed based on the established Cross-Industry Standard Process for Data Mining (CRISP-DM) framework, which creates a process for managers to use when executing a Marketing AI project and discusses issues that might arise. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: July 29, 2019

2018 journal article

Complex systems: marketing’s new frontier

AMS Review, 8(3-4), 111–127.

TL;DR: A description of the key concepts, benefits, and tools of complex systems approaches is provided to encourage marketing researchers and practitioners who are not familiar with these approaches to consider the adoption of these methods. (via Semantic Scholar)
Source: ORCID
Added: August 23, 2019

2018 journal article

Computational landscape of user behavior on social media

PHYSICAL REVIEW E, 98(6).

By: D. Darmon*, W. Rand* & M. Girvan*

Contributors: D. Darmon*, W. Rand* & M. Girvan*

TL;DR: This work introduces a new social modeling approach that enables the creation of models directly from data with minimal a priori restrictions on the model class, and infer the minimally complex, maximally predictive representation of an individual's behavior when viewed in isolation and as driven by a social input. (via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: December 31, 2018

2018 journal article

Simulating Macro-Level Effects from Micro-Level Observations

MANAGEMENT SCIENCE, 64(11), 5405–5421.

By: E. Smith* & W. Rand n

Contributors: E. Smith* & W. Rand n

author keywords: theory; decision making; applications; design of experiments; research methods; agent-based modeling; experiments; social networks
TL;DR: This work considers the fruits of integrating agent-based modeling (ABM) with lab-based experimental research with human subjects and finds that ABM researchers will benefit from exposure to a larger set of mechanisms that can add nuance and refinement to their models of human behavior and system dynamics. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 26, 2018

2017 journal article

Building Agent-Based Decision Support Systems for Word-of-Mouth Programs: A Freemium Application

JOURNAL OF MARKETING RESEARCH, 54(5), 752–767.

Contributors: M. Chica* & W. Rand n

author keywords: word of mouth; marketing decision support systems; agent-based modeling; targeting and referrals; freemium business model
TL;DR: An agent-based framework that aggregates social network–level individual interactions to guide the construction of a successful DSS for WOM is proposed and shown how the DSS can help managers by forecasting premium conversions and increasing the number of premiums through targeting and implementing reward policies. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2017 journal article

Consumer Connectivity in a Complex, Technology-enabled, and Mobile-oriented World with Smart Products

JOURNAL OF INTERACTIVE MARKETING, 40, 1–8.

By: P. Verhoef*, A. Stephen*, P. Kannan*, X. Luo*, V. Abhishek*, M. Andrews*, Y. Bart*, H. Datta* ...

Contributors: P. Verhoef*, A. Stephen*, P. Kannan*, X. Luo*, V. Abhishek*, M. Andrews*, Y. Bart*, H. Datta* ...

author keywords: Mobile marketing; Internet of Things; Social networks; Big data; Omnichannel
TL;DR: The POP-framework is introduced, how People, Objects and the Physical world inter-connect with each other and how it results in an increasing amount of connected data is discussed, and an agenda for future research focused on examining potential impact of IoT and smart products on consumer behavior and firm strategies is provided. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2017 journal article

The myopia of crowds: Cognitive load and collective evaluation of answers on Stack Exchange

PLOS ONE, 12(3).

By: K. Burghardt*, E. Alsina*, M. Girvan*, W. Rand n & K. Lerman*

Contributors: K. Burghardt*, E. Alsina*, M. Girvan*, W. Rand n & K. Lerman*

MeSH headings : Behavior; Cognition; Crowding; Humans; Logistic Models
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2016 journal article

Brand Buzz in the Echoverse

Journal of Marketing.

Contributors: K. Hewett*, W. Rand, R. Rust* & H. Heerde*

author keywords: social media; brand communications; word of mouth; advertising; vector autoregression
TL;DR: The results indicate that companies benefit from using social media for personalized customer responses, although there is still a role for traditional brand communications (e.g., press releases, advertising). (via Semantic Scholar)
Source: ORCID
Added: February 4, 2023

2016 conference paper

Breaking into new Data-Spaces: Infrastructure for Open Community Science

ACM Conference on Computer Supported Cooperative Work and Social Computing.

Contributors: A. Halfaker*, J. Morgan*, Y. Pandian*, E. Thiry*, W. Rand*, K. Schuster*, A. Million*, S. Goggins*, D. Laniado

author keywords: Open Collaboration Data Factories; Infrastructure; Methods; Policy; Online communities; Scientific practice
TL;DR: Despite being freely accessible, open online community data can be difficult to use effectively and those who lack the necessary technical skills may never be able to start. (via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Source: ORCID
Added: February 4, 2023

2016 journal article

Competing opinions and stubborness: Connecting models to data

Physical Review E.

Contributors: K. Burghardt*, W. Rand* & M. Girvan*

TL;DR: A general contagionlike model for competing opinions that includes dynamic resistance to alternative opinions is introduced and it is shown that this model can describe candidate vote distributions, spatial vote correlations, and a slow approach to opinion consensus with sensible parameter values. (via Semantic Scholar)
Source: ORCID
Added: February 4, 2023

2016 journal article

Evaluating information diffusion speed and its determinants in social media networks during humanitarian crises

JOURNAL OF OPERATIONS MANAGEMENT, 45, 123–133.

author keywords: Humanitarian operations; Social media; Information diffusion theory
TL;DR: A field study examines how effectively information diffuses through social media networks embedded in these platforms and suggests that information posted earlier during a disaster exhibits a significantly higher speed of diffusion than information that is introduced later during more eventful stages in the disaster. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2016 journal article

The simple rules of a complex world: William Rand and Roland Rust

European Journal of Marketing.

Contributors: W. Rand* & R. Rust*

author keywords: Standards; Methodology; Sufficiency; Agent-based modeling; Validity
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: ORCID
Added: February 4, 2023

2016 journal article

Understanding the complexity of project team member selection through agent-based modeling

International Journal of Project Management, 34(1), 82–93.

By: S. Hsu*, K. Weng*, Q. Cui* & W. Rand*

Contributors: S. Hsu*, K. Weng*, Q. Cui* & W. Rand*

author keywords: Team member selection; Diversity; Interdependence; Complexity; Agent-based modeling
TL;DR: Agent-Based Modeling is utilized to understand the complexity of project team member selection and to examine how the functional diversity of teams and worker interdependence affect team performance in different economic conditions. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries, ORCID
Added: February 21, 2020

2015 journal article

An Agent-Based Model of Urgent Diffusion in Social Media

Journal of Artificial Societies and Social Simulation. https://publons.com/wos-op/publon/56056143/

Contributors: W. Rand, J. Herrmann, B. Schein & N. Vodopivec

Source: ORCID
Added: February 4, 2023

2015 conference paper

Forecasting High Tide: Predicting Times of Elevated Activity in Online Social Media

IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Contributors: J. Harada*, D. Darmon*, M. Girvan* & W. Rand*

TL;DR: This work proposes three methods for behavior modeling: a simple seasonality approach based on time of-day and day-of-week, an autoregressive approachbased on aggregate fluctuations from seasonality, and an aggregation- of-individuals approachBased on modeling the behavior of individual users. (via Semantic Scholar)
Source: ORCID
Added: February 4, 2023

2014 journal article

The future applications of agent-based modeling in marketing

Routledge Companion to the Future of Marketing.

Contributors: W. Rand n

TL;DR: This chapter explores agent-based modeling, potential future applications within marketing, and future research questions in the context of this methodology. (via Semantic Scholar)
Source: ORCID
Added: February 4, 2023

2014 chapter

When Does Simulated Data Match Real Data?

In Advances in Computational Social Science (pp. 297–313).

By: F. Stonedahl* & W. Rand*

Sources: Crossref, NC State University Libraries
Added: February 21, 2020

2013 journal article

Automatic Crowdsourcing-Based Classification of Marketing Messaging on Twitter

ASE/IEEE INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING (SOCIALCOM).

Contributors: R. Machedon*, W. Rand* & Y. Joshi*

author keywords: advertising; classification; crowdsourcing; machine learning; marketing
TL;DR: It is demonstrated that a reasonably effective classifier can be created to identify the informative nature of Tweets based on crowd sourced training data, and results for identifying persuasive and transformative content are presented. (via Semantic Scholar)
Source: ORCID
Added: February 4, 2023

2013 journal article

Does Love Change on Twitter? The Dynamics of Topical Conversations in Microblogging

ASE/IEEE INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING (SOCIALCOM).

Contributors: V. Lai* & W. Rand*

author keywords: social media; microblogging; trend identification; topic stability; language usage; ranking; Twitter
TL;DR: This work takes an information retrieval approach and uses tf-idf to identify words that are more frequent in a focal conversation compared to other conversations on Twitter, and shows that some topics of conversation are more stable than other topics, and that this stability is also affected by whether only the most frequent terms are of interest, or if all words are being examined. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: ORCID
Added: February 4, 2023

2013 journal article

Improving Prelaunch Diffusion Forecasts: Using Synthetic Networks as Simulated Priors

Journal of Marketing Research.

Contributors: M. Trusov*, W. Rand* & Y. Joshi*

author keywords: agent-based models; complex systems; Bayesian inference; consumer networks; diffusion; prelaunch forecasts
TL;DR: This research bridges the gap between the disciplines of Bayesian statistics and agent-based modeling by demonstrating how researchers can use stochastic relationships simulated within complex systems as meaningful inputs for Bayesian inference models. (via Semantic Scholar)
Source: ORCID
Added: February 4, 2023

2013 journal article

Media, Aggregators, and the Link Economy: Strategic Hyperlink Formation in Content Networks

Management Science.

author keywords: media economics; news and journalism; content strategies; network formation; marketing
Source: ORCID
Added: February 4, 2023

2013 journal article

Predictability of User Behavior in Social Media: Bottom-Up v. Top-Down Modeling

ASE/IEEE INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING (SOCIALCOM).

Contributors: D. Darmon*, J. Sylvester*, M. Girvan* & W. Rand*

TL;DR: It is demonstrated that the behavior of users on Twitter can be well-modeled as processes with self-feedback and compare the performance of models built with both the statistical and neural paradigms. (via Semantic Scholar)
Source: ORCID
Added: February 4, 2023

2013 conference paper

SWITCHING BEHAVIOR IN ONLINE AUCTIONS: EMPIRICAL OBSERVATIONS AND PREDICTIVE IMPLICATIONS

Winter Simulation Conference. https://publons.com/wos-op/publon/56056141/

Contributors: W. Guo, W. Rand & W. Jank

Source: ORCID
Added: February 4, 2023

2011 journal article

Agent-based modeling in marketing: Guidelines for rigor

International Journal of Research in Marketing.

Bill Rand

Source: ORCID
Added: August 23, 2019

2010 journal article

THE SHAKY LADDER HYPERPLANE-DEFINED FUNCTIONS AND CLASSIC DYNAMIC PROBLEMS

International Journal of Computational Intelligence and Applications.

Contributors: A. Alharbi* & W. Rand*

author keywords: Genetic algorithms; dynamic environments; shaky ladder hyper-defined functions; building blocks; representation
TL;DR: This work explores a set of test problems, the shaky ladder hyper-defined functions (sl-hdf), and extends these functions to create versions that are equivalent to many classical dynamic problems, and constraining the space of all sl-hDFs to create representations of these classical functions. (via Semantic Scholar)
Source: ORCID
Added: February 4, 2023

2010 journal article

The Problem with Zoning: Nonlinear Effects of Interactions between Location Preferences and Externalities on Land Use and Utility

Environment and Planning B: Planning and Design, 37(3), 408–428.

By: M. Zellner*, R. Riolo*, W. Rand*, D. Brown*, S. Page* & L. Fernandez*

UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: September 11, 2020

2009 conference paper

PARTICIPATORY SIMULATION AS A TOOL FOR AGENT-BASED SIMULATION

International Conference on Agents and Artificial Intelligence (ICAART). https://publons.com/wos-op/publon/56056148/

Contributors: M. Berland & W. Rand

Source: ORCID
Added: February 4, 2023

2009 journal article

The emergence of zoning policy games in exurban jurisdictions: Informing collective action theory

Land Use Policy, 26(2), 356–367.

By: M. Zellner*, S. Page*, W. Rand*, D. Brown*, D. Robinson*, J. Nassauer*, B. Low*

author keywords: Land-use policy; Scale interaction; Local government cooperation; Game theory; Agent-based modeling
Sources: Crossref, NC State University Libraries
Added: September 11, 2020

2008 journal article

Exurbia from the bottom-up: Confronting empirical challenges to characterizing a complex system

Geoforum, 39(2), 805–818.

By: D. Brown*, D. Robinson*, L. An, J. Nassauer*, M. Zellner*, W. Rand*, R. Riolo*, S. Page*, B. Low*, Z. Wang*

author keywords: urban sprawl; land-cover change; land-use change; spatial modeling; ecological effects
TL;DR: Empirical results from a multi-disciplinary project that support modeling complex processes of land-use and land-cover change in exurban parts of Southeastern Michigan point to the importance of collecting data on agents and their interactions when producing agent-based models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: September 11, 2020

2008 journal article

Reciprocity between the cerebellum and the cerebral cortex: Nonlinear dynamics in microscopic modules for generating voluntary motor commands

Complexity, 14(2), 29–45.

By: J. Wang*, G. Dam*, S. Yildirim, W. Rand*, U. Wilensky* & J. Houk*

author keywords: neural network; motor cortex; cerebellum; movement; nonlinear dynamics; motor command; equilibrium point control; agent-based modeling
TL;DR: A detailed model of one microscopic loop between the motor cortex and the cerebellum is presented, and it is shown how small arrays of CB modules can be used to generate biologically plausible motor commands for controlling movement. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 11, 2020

2007 chapter

Understanding the Semantics of the Genetic Algorithm in Dynamic Environments

In Lecture Notes in Computer Science (pp. 657–667).

By: A. Alharbi*, W. Rand* & R. Riolo*

TL;DR: This paper examines the evolving "content" in terms of schemata, as the GA solves dynamic problems to better understand the behavior of the GA in dynamic environments. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 11, 2020

2006 chapter

The Effect of Building Block Construction on the Behavior of the GA in Dynamic Environments: A Case Study Using the Shaky Ladder Hyperplane-Defined Functions

In Lecture Notes in Computer Science (pp. 776–787).

By: W. Rand* & R. Riolo*

TL;DR: This work presents three ways of constructing the shaky ladder hyperplane-defined functions by manipulating the way building blocks are constructed, combined, and changed, and shows that the effects of building block construction on the behavior of the GA are complex. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: September 11, 2020

2005 journal article

Path dependence and the validation of agent‐based spatial models of land use

International Journal of Geographical Information Science.

Bill Rand

author keywords: agent-based modeling; land-use change; urban sprawl; model validation; complex systems
TL;DR: Two distinct notions of accuracy of land‐use models are identified and a tension between them is highlighted: the invariant region, i.e., the area where land‐ use type is almost certain, and thus path independent; and the variant region, which is the areaWhere land use depends on a particular series of events, and is thus path dependent. (via Semantic Scholar)
Source: ORCID
Added: August 23, 2019

2005 chapter

Shaky Ladders, Hyperplane-Defined Functions and Genetic Algorithms: Systematic Controlled Observation in Dynamic Environments

In Lecture Notes in Computer Science (pp. 600–609).

By: W. Rand* & R. Riolo*

TL;DR: This paper has created an extension of hyperplane-defined functions, specifically designed for dynamic environments, which it calls the shaky ladder functions and describes the construction of these functions and presents some preliminary results of a GA operating on these functions. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 11, 2020

2005 journal article

Spatial process and data models: Toward integration of agent-based models and GIS

Journal of Geographical Systems, 7(1), 25–47.

By: D. Brown*, R. Riolo*, D. Robinson*, M. North* & W. Rand*

TL;DR: This work discusses approaches to implementing tight integration, focusing on a middleware approach that links existing GIS and ABM development platforms, and illustrates the need and approaches with example agent-based models. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: September 11, 2020

2005 conference paper

The problem with a self-adaptative mutation rate in some environments - A case study using the Shaky Ladder Hyperplane-Defined Functions

Genetic and Evolutionary Computation Conference. https://publons.com/wos-op/publon/56056147/

Contributors: W. Rand & R. Riolo

Source: ORCID
Added: February 4, 2023

2004 journal article

Agent-based and analytical modeling to evaluate the effectiveness of greenbelts

Environmental Modelling & Software, 19(12), 1097–1109.

By: D. Brown*, S. Page*, R. Riolo* & W. Rand*

author keywords: land-use change; urban sprawl; agent-based modeling; landscape ecology
TL;DR: How width and location of the greenbelt could help determine the effectiveness of greenbelts for slowing sprawl is suggested, but that these relationships are sensitive to the patterns of landscape aesthetic quality and assumptions about service center locations. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: September 11, 2020

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