AgentPolis is a fully agent-based platform for modeling multi-modal transportation systems. It comprises a highperformance discrete-event simulation core, a cohesive set of high-level abstractions for building extensible agent-based models and a library of predefined components frequently used in transportation and mobility models. Together with a suite of supporting tools, AgentPolis enables r...

AgentPolis is a fully agent-based platform for modeling multi-modal transportation systems. It comprises a highperformance discrete-event simulation core, a cohesive set of high-level abstractions for building extensible agent-based models and a library of predefined components frequently used in transportation models. Together with a suite of supporting tools, AgentPolis enables rapid prototyp...

This paper presents a new methodology for building special-purpose software agents that capture and access information in large, heterogeneous, distributed information environments. It allows rapid prototyping of information agents for solving a wide range of retrieval tasks with guarantees on performance. The key idea is to exploit underlying structure at various levels of granularity to build...

When making decisions humans often violate the principles of rational choice theory. Recent experiments, involving rapid experiential decisions, uncovered a mechanism that is responsible for various rationality violations. According to this selective gating mechanism, incoming value samples are accumulated across time, but prior to their accumulation they are weighted in proportion to their mom...

General representation, abstraction and exchange definitions are crucial for dynamically configurable context recognition. However, to evaluate potential definitions, suitable standard datasets are needed. This paper presents our effort to create and maintain large scale, multimodal standard datasets for context recognition research. We ourselves used these datasets in previous research to deal...

Data ow analysis is a versatile technique that can be used to address a variety of analysis problems. Typically , data ow analyzers are hand-crafted to solve a particular analysis problem. The cost of constructing analyzers can be high and is a barrier to evaluating alternative analyzer designs. In this paper, we describe an architecture that facilitates the rapid prototyping of data ow analyze...

Developing high-performance problem solving environments/applications that allow scientists to easily harness the power of the emerging national-scale “Grid” infrastructure is currently a difficult task. Although many of the necessary low-level services, e.g. security, resource discovery, remote access to compute/data resource, etc., are available, it can be a challenge to rapidly integrate the...