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[Notebook TTC, DB 54]

[Sunday 29 July 2001 - Saturday 4 August 2001]

[page 96]

Sunday 29 July 2001

Have I written the following before, or have I just thought it? The universe is and remains actus purus, ie an infinite set of quanta of action. Action thus conceived is conserved, this

[page 97]

conservation being reflected in the unitarity of quantum operators, but while the act remains constant, the form (basis vectors etc) of the act changes, since the transfinite space of possible action is much bigger than the countable space of actus purus.

POINTER = abstract (model) version of thing (which maybe another pointer) used to connect manipulations of model to manipulations of thing.

QM gives us a universal model for dealing with events, and the relation between before (preparation) and after (measurement)

Monday 30 July 2001

Maybe it is significant that I have been working quite hard (and spending a couple of thousand per year) on this project for (say) 40 years and have still to gain any public recognition (ie publish anything). Should I give up and get a proper job? Not yet.

[page 98]

After my recent experience with the Australian Catholic University, I am more convinced than ever that I am closer to the truth than the alien god hypothesis and the benefits to be obtained from 'the universe is divine' are well worth the (bloodless and painless) sacrifice of one life.

A major function of intelligence is searching, More intelligent entities find what they are looking for more quickly, which brings fitness and ultimately leisure (once the basis of culture?)

Predators search; prey hide/

Insight: brute force/heuristic.

Insight also takes place in the public sphere,. and we call it democracy.

Hierarchical parallelism/Interrupt parallelism.

[page 99]

Constructing the religion is like constructing a house, a number of false starts, renovations and refits, but all durable, so that what is done is done until it conflicts with some further development.

Tuesday 31 July 2001
Wednesday 1 August 2001

Understanding = modelling -> engineering. So 'Verbum' models Thomas modeling Aristotle ... each level adding a bit more insight. Lonergan. Now we move to AI seeking models of the processes of knowledge etc. Nilsson.

Thursday 2 August 2001

Lonergan is a student of intelligence in the medieval manner mandated by the RCC. Modern AI research moved from the finite to the transfinite domain provides us with a new way to look at this ancient introspective psychology.

Artificial intelligence began with the Turing

[page 100]

machine that showed that anything a human mathematician could do a machine could do.

Work: Everybody needs to have many jobs (sources of income) so that failure of one or other will be compensated by success in another.

David Craig (ed) Dickens Hard Times. Dickens.

The bigger the space the more meaningful the countable subset of 'special' points within it.

Human condition: we are agents in an environment of agents.

Friday 3 August 2001
Saturday 4 August 2001

Books

Lonergan, Bernard J F, Verbum : Word and Idea in Aquinas (Collected Works of Bernard Lonergan volume 2) , University of Toronto Press 1997 Jacket: 'Verbum is a product of Lonergan's eleven years of study of the thought of Thomas Aquinas. The work is considered by many to be a breakthrough in the history of Lonergan's theology ... . Here he interprets aspects in the writing of Aquinas relevant to trinitarian theory and, as in most of Lonergan's work, one of the principal aims is to assist the reader in the search to understand the workings of the human mind.'  Amazon  back
Nilsson, Nils J, Artificial Intelligence: A New Synthesis, Morgan Kaufmann 1998 Preface: This introductory textbook employs a novel perspective from which to view topics in artificial intelligence (AI). I will consider a progression of AI systems or "agents", each slightly more complex than its predecessor. I begin with elementary agents that respond to sensed properties of their environments. Even such simple machines allow me to treat topics such as machine vision, machine learning and machine evolution. Then by stages I introduce techniques that allow agents to exploit information about the task environment that cannot be immediately sensed. ... Because the progression follows what plausibly might have been milestones in the evolution of animals, I have called the approach evolutionary artificial intelligence. I intend the book to be as much a proposal about how to think about AI as it is a description of AI techniques. Examples will be used to provide motivation and grounding.' p xix.    Amazon   back

 

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