darc_toolbox
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drbenvincent
Run adaptive decision making experiments
Hello, do you have any plans on implementing a stopping criteria like mentioned in Watson's 1983 paper? If not, do you have any thoughts on how to implement it?
- [x] resolve #84 - [x] require `badapted=0.0.3` - [ ] new release of `badapted=0.0.4` as there have been a lot of updates - [ ] check we are setting...
In an experiment I am writing with discounting in the gain and loss domain, there are problems with constructing a set of designs with `DesignSpaceBuilder` in the loss domain. Need...
Because of historical reasons, we have been dealing with design spaces where each individual prospect is relatively simple. For **non-risky prospects** then we have a certain outcome | Probability |...
At the moment we have this ```python sys.path.insert(0, '../') # relative coding of 'up' two folders. ``` which is ok for the PsychoPy demo stuff. But it's fragile. When we...
- [x] new alternate constructor - [x] new `inter_reward_delay` kwarg for the constructor. - [x] Act on supplied `inter_reward_delay` values in generating design space - [x] add to tests -...
When we have repeated designs then we want to reflect that in our data plotting by the size of the plotted point. The colour can represent the proportion of choices...
Make a simple minus working example. This will be much like the current demo experiment, but without the `chooser.py` which might confuse things for people. This will also act as...
- [x] implement the Tradeoff model - [ ] add a notebook to examine the properties of the model ## References Scholten, M., & Read, D. (2010). The psychology of...
- [x] implement the DRIFT model code - [x] evaluate DRIFT model with a notebook - [ ] add a parameter recovery simulation in the notebook - [x] add reference...