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Knowledge Representation
Knowledge Representation - KR
Publications: 8,878| Citation Count: 82,926
Stemming Variations: Knowledge Representations, knowledge represention, knowledge representable, knowledge representational
Cumulative Annual
    • Knowledge representation is a traditional field in artificial intelligence. Researchers have developed various ways to represent and share information among intelligent agents. Agents that share resources, data, information, and knowledge perform better than agents working alone. However, previous research also reveals that sharing knowledge among a large number of entities in an open environment is a problem yet to be solved...

    Xiuyi Fan, et al. RobotShare: a Framework for Robot Knowledge Sharing

    • Knowledge representation is a traditional eld in articial intelligence. Researchers have developed various ways to represent and share information among intelligent agents. Agents that share resources, data, information, and knowledge perform better than agents working alone. However, previous research also reveals that sharing knowledge among a large number of entities in an open environment is a problem yet to be solved...

    Xiuyi Fan, et al. Robotshare: a Google for Robots

    • Knowledge representation is an essential criterion to capitalization of knowledge in organizations. There is need for organizations to employ strategic methods to ensure optimal innovation and effective decision making. Thus, Economic Intelligence proffers strategy to facilitate effective decision making through collection, treatment and use of relevant information for economic actors in decision making process...

    Oladejo Bolanle, et al. Representation of Knowledge Resource in the context of Economic Intell...

    • Knowledge representation is a key issue for any machine learning task. There have already been many comparative studies about knowledge representation with respect to machine learning in classification tasks. However, apart from some work done on reinforcement learning techniques in relation to state representation, very few studies have concentrated on the effect of knowledge representation for machine learning applied to problem solving, and more specifically, to planning...

    Ricardo Aler, et al. Knowledge Representation Issues in Control Knowledge Learning

    • Knowledge representation is an important issue in reinforcement learning. Although logic programming with answer set semantics is a standard in knowledge representation, it has not been exploited in reinforcement learning to resolve its knowledge representation issues...

    Emad Saad. A Logical Framework to Reinforcement Learning Using Hybrid Probabilist...

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