Table of contents of booklet for Ijcai'05 Tutorial tutorial on Representation and Learning in Robots and Animals

1  PROVISIONAL SUMMARY PROGRAMME 3

2  INTRODUCTION                                                         4

  2.1 BACKGROUND                                                        4

3  MORE DETAILED SCHEDULE                                               5

  3.1 Speakers and abstracts                                            5

4  AI in a New Millenium: Obstacles & Opportunities . . . . . . .  . . 11

  4.1 AI as both Science and Engineering . . . . . . . . . . . . . .   11
  4.2 Difficulties and how to address them. . . . . . . . . . . . . .  12
  4.3 Institutional and financial obstacles . . . . . . . . . . . . .  13
  4.4 Failing to see problems: ontological blindness . . . . . . . . . 13
      4.4.1 What are the functions of vision? . . . . . . . . . . .    13
      4.4.2 Seeing without recognising objects . . . . . . . . . .     14
      4.4.3 Is language for communication? . . . . . . . . . . . .     16
      4.4.4 Varieties of complexity: 'Scaling up' and 'scaling out'    17
  4.5 Are humans unique? . . . . . . . . . . . . . . . . . . . . . .   19
      4.5.1 Altricial and precocial skills in animals and robots . .   20
      4.5.2 Meta-semantic competence . . . . . . . . . . . . . . .     21
  4.6 Using detailed scenarios to sharpen vision . . . . . . . . . . . 22
  4.7 Resolving fruitless disputes by methodological 'lifting' . . . . 23
      4.7.1 Analyse before you choose . . . . . . . . . . . . . . .    23
      4.7.2 The need to survey spaces of possibilities . . . . . . .   24
      4.7.3 Towards an ontology for types of architectures . . . .     25
  4.8 Assessing scientific progress . . . . . . . . . . . . . . . . .  26
      4.8.1 Scenario-based backward chaining research . . . . . .      27
      4.8.2 An example collection of scenarios . . . . . . . . . .     28
      4.8.3 Assessing (measuring?) progress . . . . . . . . . . . .    29
      4.8.4 Replacing rivalry with collaboration . . . . . . . . . .   29

5 CONCLUSION                                                           30

6 REFERENCES                                                           31

7 NOTES PROVIDED BY TUTORIAL PRESENTERS

1. Paul Cohen                                                  (13 pages)
    Toward a Cognitive Architecture: Chunking and Memory
2. David Forsyth                                               (26 pages)
    Correspondence: Words and Pictures
3. Richard Dearden                                             (21 pages)
    Planning and Learning in Hybrid Discrete-Continuous Models
4. Mark Steedman                                               (12 pages)
    Plans and the Computational Structure of Languag

Maintained by Aaron Sloman
Last updated: 26 Jun 2005