Astrid Jackson

Astrid Jackson
University of Central Florida | UCF · Department of Electrical Engineering & Computer Science

About

9
Publications
996
Reads
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153
Citations
Additional affiliations
August 2002 - May 2004
University of Georgia
Position
  • Research Assistant

Publications

Publications (9)
Conference Paper
Full-text available
One of the advantages of teaching robots by demonstration is that it can be more intuitive for users to demonstrate rather than describe the desired robot behavior. However, when the human demonstrates the task through an interface, the training data may inadvertently acquire artifacts unique to the interface, not the desired execution of the task....
Conference Paper
Full-text available
One of the advantages of teaching robots by demonstration is that it can be more intuitive for users to demonstrate rather than describe the desired robot behavior. However, when the human demonstrates the task through an interface, the training data may inadvertently acquire artifacts unique to the interface, not the desired execution of the task....
Conference Paper
Full-text available
Reinforcement learning (RL) is a popular choice for solving robotic control problems. However, applying RL techniques to controlling humanoid robots with high degrees of freedom remains problematic due to the difficulty of acquiring sufficient training data. The problem is compounded by the fact that most real-world problems involve continuous stat...
Article
NED-2 is a Windows-based system designed to improve project-level planning and decision making by providing useful and scientifically sound information to natural resource managers. Resources currently addressed include visual quality, ecology, forest health, timber, water, and wildlife. NED-2 expands on previous versions of NED applications by int...
Article
We present a flexible, extensible method for integrating multiple tools into a single large decision support system (DSS) using a forest ecosystem management DSS (NED-2) as an example. In our approach, a rich ontology for the target domain is developed and implemented in the internal data model for the DSS. Semi-autonomous agents control external c...
Article
Decision making for forest ecosystem management can include the use of a wide variety of modeling tools. These tools include vegetation growth models, wildlife models, silvicultural models, GIS, and visualization tools. NED-2 is a robust, intelligent, goal-driven decision support system that integrates tools in each of these categories. NED-2 uses...
Conference Paper
Full-text available
The creation of intelligent, human-like agents becomes increasingly eminent in the development of computer games. This paper discusses how the Turing Test might be applied to computer games to find an appropriate design for such an agent.
Article
Full-text available
NED-2 is a robust, intelligent, goal-driven ecosystem management decision sup- port system that integrates a wide variety of modeling tools. These tools include vegetation growth and yield models, wildlife models, silvicultural models, GIS, and visualization tools. Integrating growth and yield models is one of the key elements in the NED- 2 system....
Article
Full-text available
1 / 30 2 Keywords: agents, blackboard architecture, ecosystem management, decision support system, knowledge based system, regeneration, fire risk analysis. 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 Summary: NED-2 is a robust, intelligent, goal-driven decision support system that integrates databases, growth and yield mod...

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