Observation-Based Logic of Knowledge, Belief, Desire and Intention

No Thumbnail Available
File version
Author(s)
Su, Kaile
Yue, Weiya
Sattar, Abdul
Orgun, Mehmet A
Luo, Xiangyu
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)

Lang, J

Lin, F

Wang, J

Date
2006
Size
File type(s)
Location
License
Abstract

We present a new model of knowledge, belief, desire and intention, called the interpreted KBDI-system model (or KBDI-model for short). The key point of the interpreted KBDI-system model is that we express an agent's knowledge, belief, desire and intention as a set of runs (computing paths), which is exactly a system in the interpreted system model, a well-known agent model due to Halpern and his colleagues. Our KBDI-model is computationally grounded in that we are able to associate a KBDI-model with a computer program, and formulas, involving agents' knowledge, belief, desire (goal) and intention, can be understood as properties of program computations. With KBDI-model, we have two different semantics to interpret our logic of knowledge, belief, desire and intention. Moreover, with respect to each semantics, we present a sound and complete proof system.

Journal Title

Lecture Notes in Computer science

Conference Title
Book Title
Edition
Volume

4092

Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject

Information and computing sciences

Persistent link to this record
Citation
Collections