This paper presents an agent-based model of disaggregated economic systems with endogenous growth features named Lagom GeneriC. This model is thought to represent a proof of concept that dynamically complete and highly disaggregated agent-based models allow to model economies as complex dynamical systems. It is used here for “theory generation”, investigating the extension to a framework with c...

Cooperative problem solving without communication is an oftenstudied field within multi-agent research. Realistic problems investigated in this particular field are complex and difficult to model, and therefore not suitable for education. This paper presents the distributed weighing problem as a novel problem to be used for educational purposes within the domain of cooperation without communica...

A major question facing the development of sophisticated robotics systems is how to capture the functionality seen in versatile living systems. An approach that has proven useful in designing complex systems is to capture the explicit constraints in a knowledge based system. In this paper, we discuss a knowledge-based planning system under development that attempts to capture the versatility of...

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...

Agent-based models are helpful to investigate complex dynamics in coupled humanenatural systems. However, model assessment, model comparison and replication are hampered to a large extent by a lack of transparency and comprehensibility in model descriptions. In this article we address the question of whether an ideal standard for describing models exists. We first suggest a classification for s...

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...

This paper presents RAMSES, a framework for easily specifying agent-based discrete event models entailing both environment and agent entities. RAMSES offers parallel execution capabilities based on speculative event processing and an innovative software reversibility technique that copes with state restore in case the run slides along a nonconsistent speculative path. Reversibility in RAMSES re...