The paper talks about how to measure the amount of information required by evolutionary algorithms in order for them to work. The paper describes accounting processes for measuring where information is put into evolutionary algorithms, so that it becomes clear how much information is needed up front. The paper shows that the information present in evolutionary algorithms does not emerge as a result of evolutionary algorithms – the “active information” has to be put into the process at different points for the process to work.
“Conservation of Information in Search: Measuring the Cost of Success,” published in IEEE Transactions on Systems, Man and Cybernetics A, Systems & Humans.
Part 1 Topics:
- about the IEEE, the publisher of the paper Dembski and Marks
- the search problem and evolutionary algorithms
- the concept of “active information”
- blind search versus targeted searches
- No Free Lunch theorems
- Conservation of information
- Responding to an objection: is Darwinism analogous to the search problem?
- does evolution have mathematical underpinnings?
Part 2 Topics:
- fitness functions and fitness landscape
- constraints as information
- does the paper support intelligent design?
- how have critics responded to this paper?