| Knowledge Representation |
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| Although knowledge representation is one of the central and in some ways most familiar concepts in AI, the most fundamental question about it--What is it?--has rarely been answered directly |
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| Uninformed Search |
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| An intelligent agents act to increase their performance measure. Some do this by adopting a goal. |
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| Decision Making Under Uncertainty |
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| My research seeks insight into the complexity of computational reasoning under uncertain information. I focus on
preference aggregation and social choice. |
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| The Future Of Artificial Intelligence |
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| The Future Of Artificial Intelligence Basics are described in the document |
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| Planning Agents Basics |
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| Agents are entities that act upon the world. Rational agents are those that do so in an
intelligent fashion. What is essential to such an agent is the ability to select and perform actions.
Actions are selected by planning, and performing such actions is a matter of plan execution. |
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| Planning Agent |
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| The purpose of planning is to find a sequence of actions that achieves a given goal when performed starting in a given state. In other words, given a set of operator instances (defining the possible primitive actions by the agent), an initial state description, and a goal state description or predicate, the planning agent computes a plan. |
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| Agent Based Introduction |
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| An intelligent agent is a software that assists people and act on their behalf. Intelligent agents work by allowing people to delegate work that they could have done, to the agent software. |
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| HighLevel Agent Communication |
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| Multi-agent systems for intelligent environments typically involve several smaller components working in concert. As
the fields of ubiquitous and pervasive computing have grown |
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| Augmented Grammar |
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| Though a wealth of insights on the structure and meaning of discourse ha,,; been gathered by researchers in linguistics, psychology, ethnomethodelogy and artificial intelligence, these insights have not been integrated into formal grammars which display the breadth, depth
and precision ef formal treatments of sentential syntax and semantics. |
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| Coalitional Bargaining with Agent Type Uncertainty |
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| Coalition formation, widely studied in game theory and economics [8], has attracted much attention in AI as means of
dynamically forming partnerships or teams of cooperating agents |
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| Self-interested Planning Agents using Plan Repair |
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| Most of the interesting applications of planning involve more than one agent to plan for. Often these agents are
self-interested and require some privacy concerning their plans and the dependencies of actions in their plans on
other agents’ actions |
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| Knowledge in Learning AIMA |
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| Object of inductive learning is to find a hypothesis that
edxepsclariipntsi othnes |
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