The distribution of on-line applications among network nodes may require obtaining acceptable results from data analysis of multiple sensors. Such sensors data is probably heterogeneous, inconsistent, and of different types. Therefore, multiple sensor data fusion is required. Here, there are many levels of information fusion (from low level signals to high level knowledge). Agents for monitorin...

BACKGROUND Agent-based modeling of Plasmodium falciparum infection offers an attractive alternative to the conventional Ross-Macdonald methodology, as it allows simulation of heterogeneous communities subjected to realistic transmission (inoculation patterns). METHODOLOGY/PRINCIPAL FINDINGS We developed a new, agent based model that accounts for the essential in-host processes: parasite repli...

Heterogeneous agent models for financial markets have provided explanations for many empirical regularities of relatively high frequency (hourly/daily) financial time series. They have been much quieter when it comes to longer range features. This paper examines a simplified computational heterogeneous agent model in the context of various longer range time series properties for equity returns....

As the tools for design and manufacturing increase in both numbers and sophistication, the ability to collaborate using these tools eeectively is becoming increasingly diicult. In order to use high delity analysis and manufacturing tools at the design stage, the designers need to communicate with domain experts and their tools, which may be geographically dispersed over heterogeneous computing ...

In many laboratory experiments, different subjects in the same player role have different beliefs and play differently. To explore the impact of these heterogeneous beliefs, along with the idea that subjects use their information about other players’ payoffs, we define rationalizable partition-confirmed equilibrium (RPCE). We provide several examples to highlight the impact of heterogeneous bel...

This chapter provides an overview of the Multi-agent Systems Engineering (MaSE) methodology for analyzing and designing multi-agent systems. MaSE consists of two main phases that result in the creation of a set of complementary models that get successively closer to implementation. MaSE has been used to design systems ranging from a heterogeneous database integration system to a biologically ba...

Applied models of policy interventions are increasingly expected to consider households’ responses to these interventions, which makes agent-based modelling popular in applied policy situations. Implementing an adequate level of agent heterogeneity and mapping it into a spatial environment are critical factors of such applied modelling. However, policy applications demand the characterisation a...

We introduce a new method for processing agents in agent-based models that significantly improves the efficiency of certain models. Dynamic Agent Compression allows agents to shift in and out of a compressed state based on their changing levels of heterogeneity. Sets of homogeneous agents are stored in compact bins, making the model more efficient in its use of memory and computational cycles. ...

Among the many information literacy games that have been developed, evaluations have mostly relied on anecdotal quotations, or procedures which were neither systematic nor rigorous. This study adopted the heuristic evaluation method with end-users to evaluate an information literacy game for tertiary students. Participants identified problems with the game according to the Heuristic Evaluation ...