DeepAI AI Chat
Log In Sign Up

A Temporal Logic for Uncertain Events and An Outline of A Possible Implementation in An Extension of PROLOG

03/27/2013
by   Soumitra Dutta, et al.
0

There is uncertainty associated with the occurrence of many events in real life. In this paper we develop a temporal logic to deal with such uncertain events and outline a possible implementation in an extension of PROLOG. Events are represented as fuzzy sets with the membership function giving the possibility of occurrence of the event in a given interval of time. The developed temporal logic is simple but powerful. It can determine effectively the various temporal relations between uncertain events or their combinations. PROLOG provides a uniform substrate on which to effectively implement such a temporal logic for uncertain events

READ FULL TEXT

page 1

page 2

page 3

page 4

page 5

page 6

page 7

page 8

03/31/2023

Interval Logic Tensor Networks

In this paper, we introduce Interval Real Logic (IRL), a two-sorted logi...
10/22/2022

A Temporal Type-2 Fuzzy System for Time-dependent Explainable Artificial Intelligence

Explainable Artificial Intelligence (XAI) is a paradigm that delivers tr...
02/06/2013

Exploiting Uncertain and Temporal Information in Correlation

A modelling language is described which is suitable for the correlation ...
07/04/2012

A Model for Reasoning with Uncertain Rules in Event Composition Systems

In recent years, there has been an increased need for the use of active ...
06/01/2011

Grounding the Lexical Semantics of Verbs in Visual Perception using Force Dynamics and Event Logic

This paper presents an implemented system for recognizing the occurrence...
02/11/2022

Learning Temporal Rules from Noisy Timeseries Data

Events across a timeline are a common data representation, seen in diffe...
05/11/2019

Data description and retrieval using periods represented by uncertain time intervals

Time periods are frequently used to specify time in metadata and retriev...