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Knowledge level

In artificial intelligence, knowledge-based agents draw on a pool of logical sentences to infer conclusions about the world. At the knowledge level… Expand
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Related topics

Related topics

5 relations

Broader (1)

Artificial intelligence
GOAL agent programming languageKnowledge level modelingPrinciple of rationalitySymbol level

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2007
Highly Cited
2007
Student Models that Invite the Learner In: The SMILI: () Open Learner Modelling Framework
  • S. Bull, J. Kay
  • Int. J. Artif. Intell. Educ.
  • 2007
    • Corpus ID: 9378410
In recent years, the learner models of some adaptive learning environments have been opened to the learners they represent… Expand
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Highly Cited
2004
Highly Cited
2004
Automated Composition of Semantic Web Services into Executable Processes
Different planning techniques have been applied to the problem of automated composition of web services. However, in realistic… Expand
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Highly Cited
2002
Highly Cited
2002
A knowledge flow model for peer-to-peer team knowledge sharing and management
  • H. Zhuge
  • Expert Syst. Appl.
  • 2002
    • Corpus ID: 14419449
Abstract To realize effective knowledge sharing in teamwork, this paper proposes a knowledge flow model for peer-to-peer… Expand
Highly Cited
2001
Highly Cited
2001
Influences and Reaction : a Model of Situated Multiagent Systems
This paper presents a general theory of action in multiagent systems which rely on a clear distinction between influences, which… Expand
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Highly Cited
1998
Highly Cited
1998
Crisis Construction and Organizational Learning: Capability Building in Catching-Up at Hyundai Motor
Effective organizational learning requires high absorptive capacity, which has two major elements: prior knowledge base and… Expand
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Highly Cited
1998
Highly Cited
1998
Using latent semantic analysis to assess knowledge: Some technical considerations
In another article (Wolfe et al., 1998/this issue) we showed how Latent Semantic Analysis (LSA) can be used to assess student… Expand
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Highly Cited
1997
Highly Cited
1997
The Ontology of Tasks and Methods
Much of the work on ontologies in AI has focused on describing some aspect of reality: objects, relations, states of affairs… Expand
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Highly Cited
1995
Highly Cited
1995
Ontologies and Knowledge Bases. Towards a Terminological Clarification
The word \ontology" has recently gained a good popularity within the knowledge engineering community. However, its meaning tends… Expand
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Highly Cited
1988
Highly Cited
1988
Investigations into a Theory of Knowledge Base Revision
A fundamental problem in knowledge representation is how to revise knowledge when new, contradictory information is obtained… Expand
Highly Cited
1986
Highly Cited
1986
Generic Tasks in Knowledge-Based Reasoning: High-Level Building Blocks for Expert System Design
ion level relative to the information processing task, some control issues are artifacts of the representation. In our opinion… Expand
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