[HTML][HTML] Artificial intelligence in supply chain management: A systematic literature review
R Toorajipour, V Sohrabpour, A Nazarpour… - Journal of Business …, 2021 - Elsevier
This paper seeks to identify the contributions of artificial intelligence (AI) to supply chain
management (SCM) through a systematic review of the existing literature. To address the …
management (SCM) through a systematic review of the existing literature. To address the …
Challenges, tasks, and opportunities in modeling agent-based complex systems
Humanity is facing many grand challenges at unprecedented rates, nearly everywhere, and
at all levels. Yet virtually all these challenges can be traced back to the decision and …
at all levels. Yet virtually all these challenges can be traced back to the decision and …
Revisiting the H oly G rail: using plant functional traits to understand ecological processes
One of ecology's grand challenges is developing general rules to explain and predict highly
complex systems. Understanding and predicting ecological processes from species' traits …
complex systems. Understanding and predicting ecological processes from species' traits …
[图书][B] An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with Netlogo
U Wilensky - 2015 - books.google.com
A comprehensive and hands-on introduction to the core concepts, methods, and
applications of agent-based modeling, including detailed NetLogo examples. The advent of …
applications of agent-based modeling, including detailed NetLogo examples. The advent of …
Understanding the combined effects of multiple stressors: A new perspective on a longstanding challenge
Wildlife populations and their habitats are exposed to an expanding diversity and intensity of
stressors caused by human activities, within the broader context of natural processes and …
stressors caused by human activities, within the broader context of natural processes and …
[PDF][PDF] Agent-based modeling in economics and finance: Past, present, and future
Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …
[HTML][HTML] Modeling psychopathology: From data models to formal theories.
Over the past decade, there has been a surge of empirical research investigating mental
disorders as complex systems. In this article, we investigate how to best make use of this …
disorders as complex systems. In this article, we investigate how to best make use of this …
[图书][B] Simulation and similarity: Using models to understand the world
M Weisberg - 2013 - books.google.com
In the 1950s, John Reber convinced many Californians that the best way to solve the state's
water shortage problem was to dam up the San Francisco Bay. Against massive political …
water shortage problem was to dam up the San Francisco Bay. Against massive political …
Social-ecological systems as complex adaptive systems: modeling and policy implications
Systems linking people and nature, known as social-ecological systems, are increasingly
understood as complex adaptive systems. Essential features of these complex adaptive …
understood as complex adaptive systems. Essential features of these complex adaptive …
[图书][B] Agent-based and individual-based modeling: a practical introduction
SF Railsback, V Grimm - 2019 - books.google.com
The essential textbook on agent-based modeling—now fully updated and expanded Agent-
Based and Individual-Based Modeling has become the standard textbook on the subject for …
Based and Individual-Based Modeling has become the standard textbook on the subject for …