Agent-based co-evolutionary systems seem to be convenient for modeling market-related behaviors, since they allow for defining competing and/or co-operating agents which can interact and communicate with each other and influence the environment and other agents. In the course of this paper the idea of utilizing of agent-based co-evolutionary approach for supporting decisions of financial invest...

This paper presents recent methodological developments aimed at establishing the daily spatiotemporal behaviour of individual people from their activity on social-networking services. Ultimately, the methods will be used to provide supplementary data to a complex agent-based model of urban dynamics. This work will review recent developments in the use of crowd-source data for understanding soci...

We explore the paradigm of artifact-centric systems from a knowledge-based perspective. We provide a semantics based on interpreted-systems to interpret a first-order temporalepistemic language with identity in a multi-agent setting. We consider the model checking problem for this language and provide abstraction results. We isolate a natural subclass of artifact-systems for which the model che...

A series of experiments, exploring nonverbal behavior in human-computer systems, is presented. The first two experiments examine the rate and type of facial expressions exhibited across a variety of computer-based tasks. The third experiment focuses on users behavioral responses to agent-based systems, and the fourth experiment focuses on gaze responses in humanhuman, computer-mediated communic...

Agent-based collaborative decision support is a methodology of utilizing domain specific intelligent systems, interacting in a common environment, to partner with one or more human decision makers to reach a consensus solution to a complex problem. An example is the recently developed Collaborative Infrastructure Assessment Tool (CIAT) that provides a collaborative planning facility management ...

In this paper we describe a pilot study of an approach to STEM inquiry learning called Bifocal Modelling (Blikstein, 2010) with a group of high school students studying bacterial growth. Students grew and measured real bacteria, and then collaboratively designed a conceptual agent-based model of bacteria. Observations and student notes suggest that the activity helped students demonstrate their...

We present a pulmonary alveolar epithelial cell model and its simulation results aimed to provide mechanistic insight into biological principles that underlie alveolar morphogenesis in vitro. Primary human alveolar type II cells in 3D cultures have been shown to undergo processes of cell migration and aggregation to form hollow cystic structures that resemble human lung alveoli. Although variou...

Complexity in software design refers to the difficulty in understanding and manipulating the set of concepts, models and techniques involved in the design process. Agents are sophisticated software artefacts, associated with a large number of features and therefore Agent-Based System (ABS) engineering methodologies involve considerable design complexity. This paper proposes a framework to evalu...

This paper presents an approach to the creation of an agent-based system for the assessment of environmental impact upon human health. As indicators of the environmental impact water pollution, indexes of traffic and industrial activity, wastes and solar radiation are assumed. And as human health indicator morbidity is taken. All the data comprise multiple heterogeneous data repositories. The s...

In this paper we discuss strategies concerning the implementation of an agent-based simulation of complex phenomena. The model we consider accounts for population decomposition and interaction in industrial districts. The approach we follow is twofold: on one hand, we implement progressively more complex models using different approaches (vertical multiple implementations); on the other hand, w...