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D Cale Reeves

Biographic Data

ID4989347
NAMED Cale Reeves
GIVEN NAMESD Cale
FAMILY NAMEReeves
SIGNATUREREEVES D C
AFFILIATIONSThe University of Texas at Austin
ORCID0000-0001-5156-594X
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS2
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Structural Effects of Agent Heterogeneity in Agent-Based Models

    Open Access•D Cale Reeves, Nicholas Willems et al.•ARTICLE•Journal of Artificial Societies…•2022•Cited by: 2•References: 3

    Modeling human behavior in the context of social systems in which we are embedded realistically requires capturing the underlying heterogeneity in human populations. However, trade-offs associated with different approaches to introducing heterogeneity could either enhance or obfuscate our understanding of outcomes and the processes by which they are generated. Thus, the question arises: how to incorporate heterogeneity when modeling human behavio…

  • Evolution of consumer information preferences with market maturity in solar PV adoption

    Open Access•D Cale Reeves, Varun Rai et al.•ARTICLE•Environmental Research Letters•2017

    Residential adoption of solar photovoltaics (PV) is spreading rapidly, supported by policy initiatives at the federal, state, and local levels. Potential adopters navigate increasingly complex decision-making landscapes in their path to adoption. Much is known about the individual-level drivers of solar PV diffusion that steer adopters through this process, but relatively little is known about the evolution of these drivers as solar PV markets ma…

  • Overcoming barriers and uncertainties in the adoption of residential solar PV

    Open Access•Varun Rai, D Cale Reeves et al.•ARTICLE•Renewable Energy•2016

  • Structural Effects of Agent Heterogeneity in Agent-Based Models

    Open Access•D Cale Reeves, Nicholas Willems et al.•ARTICLE•Journal of Artificial Societies…•2022•Cited by: 2•References: 3

    Modeling human behavior in the context of social systems in which we are embedded realistically requires capturing the underlying heterogeneity in human populations. However, trade-offs associated with different approaches to introducing heterogeneity could either enhance or obfuscate our understanding of outcomes and the processes by which they are generated. Thus, the question arises: how to incorporate heterogeneity when modeling human behavio…

  • Overcoming barriers and uncertainties in the adoption of residential solar PV

    Open Access•Varun Rai, D Cale Reeves et al.•ARTICLE•Renewable Energy•2016

  • Evolution of consumer information preferences with market maturity in solar PV adoption

    Open Access•D Cale Reeves, Varun Rai et al.•ARTICLE•Environmental Research Letters•2017

    Residential adoption of solar photovoltaics (PV) is spreading rapidly, supported by policy initiatives at the federal, state, and local levels. Potential adopters navigate increasingly complex decision-making landscapes in their path to adoption. Much is known about the individual-level drivers of solar PV diffusion that steer adopters through this process, but relatively little is known about the evolution of these drivers as solar PV markets ma…

  • Structural Effects of Agent Heterogeneity in Agent-Based Models

    Open Access•D Cale Reeves, Nicholas Willems et al.•ARTICLE•Journal of Artificial Societies…•2022•Cited by: 2•References: 3

    Modeling human behavior in the context of social systems in which we are embedded realistically requires capturing the underlying heterogeneity in human populations. However, trade-offs associated with different approaches to introducing heterogeneity could either enhance or obfuscate our understanding of outcomes and the processes by which they are generated. Thus, the question arises: how to incorporate heterogeneity when modeling human behavio…

Computer Science (3 works) · Business (2 works) · Economics (2 works) · Energy and Environment Impacts (2 works) · Engineering (2 works) · Photovoltaic system (2 works) · Social Acceptance of Renewable Energy (2 works) · 2019-20 coronavirus outbreak (1 works) · Agent-based model (1 works) · Artificial Intelligence (1 works)

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