CAL-R

We have uploaded a new version of the Rescorla & Wagner Model Simulator. Version 4.01 improves the results graphical display, updating legends as cues are selected.

The Rescorla & Wagner Model Simulator Version 4 is now available. This version incorporates a method to simulate contexts within experimental designs. It maintains the functionalities of previous versions, importantly, the ability to calculate stimulus compounds and configural cues. As a result, version 4 also allows computing context compounds as well as configural cues with contexts. In addition, we have added the possibility of processing probe trials. The graphic environment has been improved.

The new SLGK Model Simulator is now available at this site.

We have added a link to Vogel, Díaz, Ramírez, Jarur, Pérez-Acosta and Wagner's simulator of Wagner's Replaced Elements Model (REM).

The Centre for Computational and Animal Learning Research aims at encouraging interdisciplinary research in learning and behaviour by strengthening collaboration between learning theorists, biologists, neuroscientists, cognitive scientists, mathematicians, software developers and computer scientists. In order to do so, the Centre promotes the distribution of ideas, results and tools through its publications and the organization of workshops where researchers can debate about the area's state of the art and future trends. Eduardo Alonso and Esther Mondragón are the Centre's founders and co-directors.

The main activities we are involved in are:

We develop simulators of psychological models of classical conditioning:

We have launched a Rescorla & Wagner Simulator that allows calculating compound stimulus' associative strength with and without configural cues, and simulates different contexts and probe trials. It produces numerical and graphical outputs, and exports the data to ".xlsx" files.
We have just released a Temporal Difference simulator that is able to run trial-based learning designs and allows the user to use different contexts, stimulus and context-stimulus compounds, configural cues and different eligibility traces (accumulating trace, bounded accumulating trace and replacing trace).

We are planning to organise a workshop on Associative Learning and Reinforcement Learning --a sequel of an event we held in 2006 as part of the AISB annual convention.