Hall of Fame Engineer George P. Sakellaris, P.E. was Inducted May 9, 2017 Mr. Sakellaris is the President and Chief Executive Officer, as well as the Chairman of the Board of Directors of Ameresco, Inc. (NYSE:AMRC), a leading energy efficiency and renewable energy company headquartered in Framingham, MA. A public company, Ameresco employs over 1,000 […]
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Event Viewer – A platform for the exploration and visualization of events Project Presentation by Tega Dibbie, Thursday May 11 at 1pm in Room 336 Boardman Hall Abstract The need for exploratory spatial and temporal data analysis tools has increased with the growth of sensor systems that produce large data sets combining spatial, temporal, and […]
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If you have an interest in computer science, spatial technologies and/or cybersecurity, you might be interested in a summer internship with the National Geospatial Intelligence Agency (NGA) located outside of Washington, D.C. If you are entering your second year or higher, now is the time to apply for NEXT summer. Because we have been designated […]
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Please join Raymond (RJ) Perry Thurs May 11 at 2:00 in Boardman 336 for his Masters project talk entitled: CONVEYING TOPOGRAPHIC INFORMATION WITH 3D PRINTED MODELS AND TACTILE MAPS Abstract Background: Blind and Visually Impaired (BVI) spatial learning research is mostly focused on indoor learning and cityscape learning. Little significant research has been conducted regarding […]
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Abstract: In open multiagent systems in which some of the agents may be self-interested, it is vital that an agent be able to make trust decisions about its peers to determine which of them may be untrustworthy and how to behave in response. The agent’s context, including the environment, observed and inferred actions and motives […]
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Abstract: The core idea of evolution is that order in living systems emerges from a simple process of variation and selection. In biological systems we usually understand the source of variation as best described by the mechanisms of genetics. If human social systems are evolutionary systems, however, it would seem the variation that most explains […]
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Abstract: Context-aware agents operating in a cooperative multi agent system (MAS) can benefit from establishing a shared view of their context, since this increases coherence and consistency in the system’s behavior. To this end, agents must share contextual knowledge with each other. In our prior work on context-mediated behavior, agents used frame-based contextual schemas (c-schemas) […]
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Abstract: Many tasks requiring multiple autonomous underwater vehicles (AUVs) are simple, with static goals, of short duration, and require few AUVs, often of the same type. Simple coordination mechanisms that assign roles to AUVs before the mission are sufficient for these multi-AUV systems. However, for tasks that are complex and dynamic, of long duration (implying […]
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Abstract: Although much attention has been devoted to modeling and using context in intelligent agents, relatively little has been given to the problem for multiagent systems (MASs). Yet, just as with an individual agent, context affects how a MAS should behave. In this paper, we discuss an approach to distributed context management for multiagent systems. […]
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Abstract: Artificial agents that simulate aspects of human behavior are expected to behave much like a real human in a similar situation would. Human behavior however, is largely context-dependent. Ignoring the effect context can have on an agent’s behavior can hinder the quality and plausibility of agent’s behavior. In this paper, we present a context-driven […]
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