Scientific research is a vanguard domain of human activity. Researchers aim for a systematic, objective approach, but also for pushing forward the boundaries of knowledge through the use of ever-more advanced instruments and techniques. Computer simulations represent such scientific instruments, capable of harvesting information in response to questions beyond the scope of traditional experimen...

This paper uses our previously created agent-based model to study the optimal way of allocating parent training resources to address unmet child need, a measure of child maltreatment. We consider parent training resource allocation prioritization based upon: a family’s own resources and the resources they have access to through their social network. Simulation results show that when targeting a...

Community collective efficacy is an important concept in studying various community problems and in developing community well-beings. While existing research on collective efficacy mainly focuses on building analytical or statistical models from informant survey data, this paper develops a complexity science-informed agent-based model to study the dynamic process of collective efficacy formatio...

In this paper we demonstrate how agent-based simulation can be used for planning applications and especially for pathfinding problems which involve qualitative spatial constraints. Since we aim to assist human planners in the real-world, simulation agents have to deal with reliable GIS data, which ensure more realism for the simulation. We use our approach to support wildland fire suppression a...

Agent-based modelling, a way to simulate complex systems comprised of autonomous and interacting agents, is perhaps one of the most promising developments in experiential learning. In this paper we present a business simulation where the marketplace is modelled as an evolving system of deliberative (consumer) agents acting as utility maximizers. Concretely, we describe the deliberative-based ar...

This poster presents a pilot study with a prototype technology that allows learners to link agent-based models written in NetLogo models and run them simultaneously as a coupled system. We describe ongoing design work using this prototype to investigate how learners conceptualize multi-level modeling of complex systems in ecology.

Peter Klimek, Sebastian Poledna, J. Doyne Farmer, Stefan Thurner1,3,4,∗ Section for Science of Complex Systems; Medical University of Vienna; Spitalgasse 23; A-1090; Austria Institute for New Economic Thinking at the Oxford School and Mathematical Institute, Eagle House, Walton Well Rd., University of Oxford OX2 3ED; UK Santa Fe Institute; 1399 Hyde Park Road; Santa Fe; NM 87501; USA IIASA, Sch...

Agent-based systems are no longer contained within the boundaries of a single, small agent organization. To meet the demands of large-scale system implementations, agent organizations must deal with environmental forces, interact with other agent organizations, and know how they affect individual agents. In this paper, we look to social and organizational systems theory as a source of inspirati...

Introduction Large-scale irrigation systems are central to the socio-economic development in developing countries. The systems not only support the livelihood of farmers who rely on them to water their crops, but also determine the amount of resources that the agricultural sector can generate to fuel industrial development in urban areas (Small and Svendsen 1992). In the last few decades, due t...

We develop an agent-based modeling and simulation approach to study the impact of product consumption strategies on the temporal dynamics of recommender systems’ performance. We model the product consumption strategy by decomposing it into two parts: recommender system’s item ranking strategy and consumers’ item selection strategy. Our simulation results show that consumers’ selection strategy ...