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Intuitionistic multi-agent subatomic natural deduction for belief and knowledge

机译:直觉多功能亚非原子学自然扣除信念和知识

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This paper proposes natural deduction systems for the representation of inferences in which several agents participate in deriving conclusions about what they believe or know, where belief and knowledge are understood in an intuitionistic sense. Multi-agent derivations in these systems may involve relatively complex belief (resp. knowledge) constructions which may include forms of nested, reciprocal, shared, distributed or universal belief/knowledge as well as attitudes de dicto/re/se. The systems consist of two main components: multi-agent belief bases which assign to each agent a subatomic system that represents the agent's beliefs concerning atomic sentences and a set of multi-agent labelled rules for logically compound formulae. Derivations in these systems normalize. Moreover, normal derivations possess the subexpression property (a refinement of the subformula property) which makes them fully analytic. Relying on the normalization result, a proof-theoretic approach to the semantics of the intensional operators for intuitionistic belief/knowledge is presented which explains their meaning entirely by appeal to the structure of derivations. Importantly, this proof-theoretic semantics is autarkic with respect to its foundations as the systems (unlike, e.g. external/labelled proof systems which internalize possible worlds truth conditions) are not defined on the basis of a possible worlds semantics. Detailed applications to a logical puzzle (McCarthy's three wise men puzzle) and to a semantical difficulty (Geach's problem of intentional identity), respectively, illustrate the systems. The paper also provides comparisons with other approaches to intuitionistic belief/knowledge and multi-agent natural deduction.
机译:本文提出了自然扣除系统,以了解推论的推论,其中几个代理商参与得出关于他们所信仰或认识的结论的结论,在直觉的意义上理解信念和知识。这些系统中的多种子体衍生可能涉及相对复杂的信念(RESP。知识)结构,其可以包括嵌套,互惠,共享,分布式或普遍信仰/知识以及态度DE DICTO / RE / SE的形式。该系统由两个主要组成部分组成:多代理信仰基础,该基础分配给每个代理的一个解剖系统,该系统代表了关于原子句子的代理人的信念和一组逻辑复合公式的标记规则。这些系统中的派生规范化。此外,正常衍生具有子表达性质(细则的细化),其使它们完全分析。依靠归一化结果,提出了一种关于直观信念/知识的密集算子的语义的证据理论方法,其完全通过吸引派生结构的含义来解释它们的意思。重要的是,这种证明理论语义是关于其基础的自动担保,作为系统(与例如可能的世界真理条件的外部/标记证明系统)没有根据可能的世界语义来定义。逻辑拼图(McCarthy的三个明智人难题)和语义难度(Geach的故意身份问题)的详细应用程序分别说明了该系统。本文还提供了与其他直觉信仰/知识和多助理自然扣除的方法的比较。

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