AI News, Austin Tate artificial intelligence

I-X – Intelligent Technology

Applications include crisis action planning, command and control, space systems, manufacturing, logistics, construction, procedural assistance, help desks, emergency response, etc.

Our long term aim is the creation and use of task-centric virtual organisations involving people, government and non-governmental organisations, automated systems, grid and web services working alongside intelligent robotic, vehicle, building and environmental systems to respond to very dynamic events on scales from local to global.

I-X agents may be combined in various ways, and may interwork with other processing capabilities or architectures especially where hybrid cognitive systems are joined to algorithms and data driven sub-cognitive modules where they can all work in an “intelligible”

I-X, our systems architecture, essentially just uses its computational capabilities to handle issues, apply nodes, manage constraints and interpret annotations to inform, explain or support the use of the construct.

Issues, Nodes, Constraints and Annotations Here is a quick intro style paper on the idea of treating all aspects of task specification, planning, environment modelling and lower level activity as “constraints on permissible behaviour”

My work on hierarchical planning over the years led to a very simple abstract ontology suitable for objectives, tasking, activity specification and capability modelling which is intended to be as flexible (and additive) as required for any application.

inspired system share and communicate constraints up and down, and that lower levels can communicate via partially shared constraints that can be understood between the levels (this often involves time, object = and /= ) so there can be yes, no and “maybe if”

We have also explored intelligent instrumented spaces in which people and knowledge-based systems can cooperate in areas such as mixed-reality distributed team operations centres using the concept of an I-Room – a Virtual Space for Intelligent Interaction.

has even been applied as a business modelling approach without any software involvement to collecting information and making business cases for the potential opening of large scale plant across the world for a major food manufacturer.

deliberately does not prescribe, it can offer a framework which can easily be deepened to meet the actual requirements while providing a stable overall basis which allows for system reasoning and human understanding.

involves the investigation of the use of shared models for task directed communication between human and computer agents who are jointly exploring a range of alternative options for a product design or for joint activity.

Artificial Intelligence Planning with Gerhard Wickler and Austin Tate

AI Planning for Space Supplement

AI Planning for Space supplementary feature for Coursera AI Planning MOOC from University of Edinburgh. See Narrated ..

2.0. AIPLAN - Week 2 Introduction

Week two of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of ...

[Feature] AIPLAN - Nils Nilsson on A* and STRIPS

Feature video (Astar and STRIPS: Nils Nilsson) of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard ...

4.4a. AIPLAN - Mutex Relations

Week four of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of ...

Story of A* and STRIPS by Nils Nilsson

Short history of the development of A* and STRIPS by Nils Nilsson for Coursera AI Planning MOOC from the University of Edinburgh.

[Feature] AIPLAN - Artificial Intelligence Planning for Robots

Feature video (AI Planning for Robots) of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and ...

1.3b. AIPLAN - Planning and Search

Week one of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of ...

2.5. AIPLAN - Good Heuristics

Week two of the University of Edinburgh's "Artificial Intelligence Planning" (AIPLAN) open online course. Dr. Gerhard Wickler and Prof. Austin Tate School of ...