Artificial Intelligence
Temporal logic of programs
SACCO-SYCOJET: two different ways of verifying knowledge-based systems
Validation, verification and test of knowledge-based systems
Incremental verification of rule-based expert systems
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
GKR: a generic model of knowledge representation
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Interaction Protocols in Agentis
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Checking the consistency of a hybrid knowledge base system
Knowledge-Based Systems
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The aim of this paper is to show a method that is able to detect inconsistencies in the reasoning carried out by a deliberative agent. The agent is supposed to be provided with a hybrid Knowledge Base expressed in a language called CCR-2, based on production rules and hierarchies of frames, which permits the representation of non-monotonic reasoning, uncertain reasoning and arithmetic constraints in the rules. The method can give a specification of the scenarios in which the agent would deduce an inconsistency. We define a scenario to be a description of the initial agent's state (in the agent life cycle), a deductive tree of rule firings, and a partially ordered set of messages and/or stimuli that the agent must receive from other agents and/or the environment. Moreover, the method will make sure that the scenarios will be valid w.r.t. the communication protocols in which the agent is involved.