Agenda Of The First Meeting Of The Haywards Heath AI & Robotics Meetup

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Haywards Heath AI & Robotics Meeting One Agenda

Haywards Heath AI & Robotics Thinkers Makers & Learners

For Makers, Thinkers & Learners in AI /AGI / Robotics + ROS / NLP / Vision / Movement / Action

Making Computers Understand Where Next?
Wed Jan 27 7:30 PM The Snowdrop Inn, Snowdrop Lane, Lindfield, RH16 2QE

Planned Attendees:

Ben Auffarth

Maxyo

Kyle Spencer-Qu­inn

Adam

James Coleman

Damien W.

Gabriel

Michelle Evans +1

az shah

Steve

2 not going

Inaugural Meeting – Agenda

Introductions

Who Am I?
– I Am Not An Expert
Why Am I Interested?
What Do I Want From This?
We Cannot Discuss a Thesis – Some Would Get Bored(?) – We Might End Up Writing One?
– Sorry there is no expert speaker

Who Are You ?
Why Are You Interested ?
What Do You Want From This ?

The Challenge ?
Have Fun
Meet Regularly
How Do We Do This ?

A Solution ?
Anyone Want To Book A Two Minute Talk Slot?
Group Vote On 5 or 10 Minute Slot ?
Group Vote / Call To Create A Workgroup ?
Group Vote On Topics ?
Work Group Working Time ?
Work Group Reports (Time limited To 10 Minutes / Plus Group Tell Us More Up Vote Option / Tell Up Next Time Up Vote ) ?
(Yes if you know your history I have been inspired by the Home Brew Computer Club)

Reading Group ? – Stanford Reading Group As A Source ?
Building Robots Group ? – Separate Meetings ??
Study Group ? Coursera – Stanford Machine Learning?

What Do You All Think ?
Breaks ? – When Is It Time For A Babysham / Some Cheesy Chilli Chips ?

Minutes / Audio Recording / Videoing ?

You Tube Channel / Online Public + Private Groups / Inter Group Networking

Any Other Business ?

My Any Other Business?
What Could Be In The Thesis If We Wrote One….?

  • Sort The Ideas?

  • See the table of contents – No! Do Not Read Out An Essay You Will Bore Us !

Hands Up What Is Next And When?

Table of Contents

1 Talk:- Making Computers Understand Where Next?
– How To Inspire The Homebrewers Group?
– Introduction 1

2 What & Why AI ? 1

2.1 A Definition For AI 2

2.2 What Situation Would Be The Most Extreme Test Of An Artificially Intelligent System? 2

2.3 Can We Make Our AI Definition More Detailed & Concrete? 3

2.4 Why ? 4

2.5 Why Has AI Research So Far Failed To Achieve Its Promises? 4

3 Will The First Human Level AI Need To Be A Robot? 5

4 How To Crack The Language Understanding Problem? 7

4.1.1 Is Open Source And Social Media Managed Development The Answer? 9

4.1.2 Will Someone Crack Human Level AI Soon? 9

4.2 Is AI Safe? 9

5 How To Learn About Artificial Intelligence 12

6 What Is The Nature Of Intelligence? 15

6.1 The Cerebral Cortex = Prediction & Simulation 15

6.2 Tool Usage 15

6.3 Understanding Written & Verbal Communication 15

6.4 Embodied Intelligence? 15

6.5 Disembodied Intelligence? 15

6.6 Self Awareness & Free Will 15

6.7 Pausing For Thought 15

6.8 Skills Capability 15

7 What Is The Ultimate Test Of AI? 15

8 Artificial Conciousness 15

8.1 Artificial Conciousness Theory 15

8.2 Artificial Conciousness Implementation 16

9 Computer Vs Humans Advantages / Disadvantages 17

10 Part One – Artificial Intelligence 17

10.1 Some History – AI & AGI 17

10.2 Is AI Safe? 18

10.3 What Can You Figure Out Without Specialist Study In AI or AGI? 19

10.3.1 No 1 – The Homunculus 20

10.3.1.1 Representing The World 20

10.3.1.2 Relating To The World – An Operating System 20

10.3.1.3 Learning A Language – What Is Required? 20

10.3.2 Self Awareness – I Think Therefore I Am 21

10.3.3 Humans Can Pause Thinking About Something Do Something Else and Then Restart 21

10.3.4 The Human Minds Eye and Time and Process Planning 22

10.3.4.1 Discrete Event Simulation 22

10.3.5 Tool Usage Tool Capability & Tool Development 22

10.3.6 Implementing Hive Memory – A Web Based Solution 22

10.3.7 Conversation Modelling 22

10.3.7.1 Transactional Analysis 22

10.3.8 Applying The Myers Briggs Personality Archetypes 23

10.4 How To Learn About Artificial Intelligence 24

10.5 Artificial Intelligence (AGI) Research Areas 24

10.5.1 Artificial Conciousness Theory 24

10.5.2 Artificial Conciousness Implementation 25

10.5.3 Robotic Design As A Design Inspiration For All human-like AI 25

10.5.3.1 Observing Recording & Interpreting The World 26

10.5.4 Machine Learning Neural Networks & Deep Learning 26

10.5.5 Cortical Column Modelling 26

10.5.6 Observing And Discovering Game Rules 26

10.5.7 Linguistics 26

10.5.7.1 Subject Object Verb Order 27

10.5.7.2 English Syntax – A Model For Required Learning? 27

10.5.7.3 Traditional vs Computational Linguistics 27

10.6 Where Would I Focus Next? 27

10.6.1 Modelling Human Learning Skills 27

10.6.1.1 Higher Level Logic & Abstract Understanding & Learning 27

10.6.1.1.1 The Human Minds Eye (The Hemseye Project) 27

10.6.1.1.2 Process Modelling & Discrete Event Simulation 27

10.6.1.1.3 System Optimisation Techniques 27

10.6.2 Language Acquisition 27

10.6.2.1 Boot Strapping Language Acquisition From Sematic Primes 27

10.6.2.2 Other Languages 27

10.6.2.3 Learning Training Sources 27

10.6.3 Creating An Object Model Of The Environment 27

11 Part 2 – Robotics Research 28

12 Conclusion 28

12.1 What Should We Do Next? 28

12.2 Discussion / Questions 28

12.2.1 Process Modelling And Discrete Event Simulation 29