Reasoning about abductive inferences in BDI agents
نویسندگان
چکیده
The capability of a computational system to deal with unexpected, changing situations and limited perception of the environment is becoming more a more relevant, in oder to make systems flexible and more reliable. Multi-agent Systems offer a computing paradigm where properties such as autonomy, adaptability or flexibility are basic in the construction of agent-based solutions. However most of current implementations are not flexible enough to cope with important changes in the environment or information loss. In this paper we propose to introduce abductive reasoning mechanisms in BDI agents and show how such agents are able to operate with partial models of the environment.
منابع مشابه
Programming mental state abduction
Many multi-agent system applications involve software agents that reason about the behavior of other agents with which they interact in cooperation or competition. In order to design and develop those systems, the employed programming languages should provide tools to facilitate the implementation of agents that can perform such reasoning. This paper focuses on BDI-based programming languages a...
متن کاملMulti-agent Abductive Reasoning with Confidentiality (Extended Abstract)
In the context of multi-agent hypothetical reasoning, agents typically have partial knowledge about their environments, and the union of such knowledge is still incomplete to represent the whole world. Thus, given a global query they need to collaborate with each other to make correct inferences and hypothesis, whilst maintaining global constraints. There are many real world applications in whi...
متن کاملMulti-agent Confidential Abductive Reasoning
In the context of multi-agent hypothetical reasoning, agents typically have partial knowledge about their environments, and the union of such knowledge is still incomplete to represent the whole world. Thus, given a global query they collaborate with each other to make correct inferences and hypothesis, whilst maintaining global constraints. Most collaborative reasoning systems operate on the a...
متن کاملCognitive Affordance Representations in Uncertain Logic
The concept of “affordance” represents the relationship between human perceivers and their environment. Affordance perception, representation, and inference are central to commonsense reasoning, tool-use and creative problem-solving in artificial agents. Existing approaches fail to provide flexibility with which to reason about affordances in the open world, where they are influenced by changin...
متن کاملAbductive Inference with Probabilistic Graphical Models
Starting from a general characterization of logical inferences, I consider abductive reasoning, which aims at finding likely causes for observed symptoms. Such inferences are not truth preserving and thus it is necessary to assess their conclusions, to compare different explanations of the same findings, and finally to select the “best” hypothesis. Since in a large number of applications probab...
متن کامل