Category Archives: truth theory

actors generate complex truth, complex truth, imagine future states, knowledge by imagination, knowledge by memory, Meaning based inference, memory, model, model - dynamic, modeling real world, simple truth, true expression, truth, truth theory

Extended Concept for Meaning Based Inferences. Version 1

ISSN 2567-6458, 30.August 2020
Email: info@uffmm.org
Author: Gerd Doeben-Henisch
Email: gerd@doeben-henisch.de

CONTEXT

As described in the uffmm eJournal  the wider context of this software project is a generative theory of cultural anthropology [GCA] which is an extension of the engineering theory called Distributed Actor-Actor Interaction [DAAI]. In  the section Case Studies of the uffmm eJournal there is also a section about Python co-learning – mainly
dealing with python programming – and a section about a web-server with
Dragon. This document will be part of the Case Studies section.

PDF DOCUMENT

TruthTheoryExtended-v1

application scenario, application scenario [AS], Artificial Actor [AA], Artificial Intelligence (AI), body, brain, collective learning, continuous learning, Events, expression [E], fact, facts [F], human actor [HA], human actor model [HA], human centered ai, human expert, imaginary, imagination, intuition, intuitive evidence, learning, Learning Artificial Actor [LAA], Learning Environment, logic, logical consequence, machine learning, meaning, meaning function, memory, meta language, neural correlates [NC], semantic evidence, Simulation, simulator, state, state [S], static state, syntactic evidence, true, truth, truth theory, turing evidence, Turing mac hine

The Simulator as a Learning Artificial Actor [LAA]. Version 1

ISSN 2567-6458, 23.August 2020
Email: info@uffmm.org
Author: Gerd Doeben-Henisch
Email: gerd@doeben-henisch.de

CONTEXT

As described in the uffmm eJournal  the wider context of this software project is a generative theory of cultural anthropology [GCA] which is an extension of the engineering theory called Distributed Actor-Actor Interaction [DAAI]. In  the section Case Studies of the uffmm eJournal there is also a section about Python co-learning – mainly
dealing with python programming – and a section about a web-server with
Dragon. This document will be part of the Case Studies section.

Abstract

The analysis of the main application scenario revealed that classical
logical inference concepts are insufficient for the assistance of human ac-
tors during shared planning. It turned out that the simulator has to be
understood as a real learning artificial actor which has to gain the required
knowledge during the process.

PDF DOCUMENT

LearningArtificialActor-v1 (last change: Aug 23, 2020)