ISL and Creativity - A production-oriented model

Segmentation, Chunking, Attention and Creative generations

Main modules (in creativitips.CTPs):

pparser.py (implementation of PARSER)
tps.py (modul for tracking Transitional Probabilities)
computation.py (for computing sequences iteratively: using previous modules)

Entry points:

parser_main.py: for experiments using PARSER only
tps_main.py: for experiments combining TPs and PARSER mechanisms

Issues:

segmentation
- TPS (forward, backward, MI). How to select the right one??
- With or without chunking?
chunking
- with or without TPS as cues? what about using MDL instead?
abstraction and generalization:
- algebraic patterns for abstraction?

What's next?

Replay of experiences
Retrieval
state uncertainty
Inference and error-driven learning
Multi-modal integration