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Abstract
MULTIAGENT PLANNING and SPACECRAFT NAVIGATION
Cyrus F. Nourani, ProjectMetaai and the Academia*
Abstract The paper presents practical aerospace flight control system design applications with multiagent AI. Design techniques are presenter applying a paradigm with multiagents on visual field windows cooperating for problem solving on boards. A preview to a new model-based [20] design for automatic onboard spacecraft control [30] with visual field prediction based on Morph Gentzen computing is stated. The basic principles are a mathematical logic where a Gentzen or natural deduction systems is defined by taking arbitrary structures and multimedia objects coded by diagram functions. New flight planning techniques with model diagrams and applications to computable models with morph Gentzen computing are presented. Generic model diagrams are applied to model computing with minimal functions as efficient computable KR on AI worlds. Diagrammatic reasoning is defined in terms of inferences directed by the model diagrams. A specific sound and complete computing logic is the basis to VR plans with Morph Gentzen applied to spacecraft navigation.
Keywords Multiagent Flight Control Systems, Morph Gentzen, Model Diagrams, KR on Diagrams, Relevant Worlds, Agent Planning, VR, Multiagent Onborad Computing, Spacecraft Automatic Onboard Vision, Onboard Visual Field Prediction
Artists / Authors
- Cyrus F Nourani, Prof. Dr., ProjectMetaai
Origination
United States, 1999-2002
Partners / Sponsors
Suche
Comment
Submission
Cyrus F 'Kris' Nourani, May 12, 2002
Category
- commercial project
Keywords
- Topics:
- immersion |
- morphing |
- streaming |
- multi-agent-systems |
- augmented reality |
- virtual reality
- Formats:
- software |
- model |
- virtual environment |
- streaming |
- 3D |
- object
- Technology:
- motion tracking |
- virtual studio
Additions to Keyword List
- ProjectMetaai@cs.com |
- Kristphr@lcos.de