949 search results - page 45 / 190 » Can Doxastic Agents Learn |
108
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IAT
2010
IEEE
14 years 10 months ago
2010
IEEE
It is widely acknowledged that providing explanations is an important capability of intelligent systems. Explanation capabilities are useful, for example, in scenario-based traini...
138
Voted
WIAS
2008
15 years 18 days ago
2008
Our system, based on a multiagent framework called collaborative understanding of distributed knowledge (CUDK), is designed with the overall goal of balancing agents' conceptu...
105
Voted
AAAI
2008
15 years 3 months ago
2008
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
104
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TSMC
2008
15 years 18 days ago
2008
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
121
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JNCA
2006
15 years 20 days ago
2006
We have developed and integrated software agents with two educational groupware systems (TeamWave Workplace and FLE), using evolutionary prototyping and empiricalbased design as d...