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imos-netlogo's Introduction

CONTENTS
========

This package contains the NetLogo imos extension (Intrinsic Motivation
System). It allows you to implement an intrinsically motivated agent 
(http://e-ernest.blogspot.com/). The rational and the details of the 
algorithm are available in:
An Intrinsically-Motivated Schema Mechanism to Model and Simulate 
Emergent Cognition. Olivier Georgeon, Frank Ritter. Cognitive Systems 
Research (2011), doi:10.1016/j.cogsys.2011.07.003.



INSTRUCTIONS
============

Use imos:init n m to initialize or reinitialize the imos (clear
all interactions and all learned sequences).
n (integer) = the regularity sensibility threshold (a low value 
favors the fast adoption of possibly less satisfying sequences, 
a high value favors the slow adoption of possibly more satisfying 
sequences. Suggested value: 5)
m (integer) = the maximum sequence length (a low value makes learning
long sequences impossible, a high value makes possible the adoption of
unnecessarily long sequences. Suggested value in a 2D space: 4)

Use imos:interaction n m o to declare an elementary possibility of 
interaction between the agent and the environment.
n (string) = The label of the interaction's action in the environment.
m (string) = The label of the interaction's stimuli generated by the 
environment.
o (integer) = The intrinsic satisfaction of this interaction. 
Note: each tuple [n,m] defines a unique interaction. Subsequent 
calls to imos:interaction will not change the satisfaction of that 
interaction.

Use imos:step m o to get the action to enact next, provided the 
previously enacted interaction.
m (string) = The label of the previous interaction's stimuli generated 
by the environment
o (integer) = The intrinsic satisfaction of the previous interaction 
(only needed in case the previous interaction was not yet declared in 
imos). 
return (string): The label of the next action to execute in the 
environment.

TERMS OF USE
============

All contents (C) 2011 Olivier Georgeon, UniversitŽ Lyon 1. CNRS.

The contents of this package may be freely copied, distributed, 
altered, or otherwise used by anyone for any legal purpose.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT
OWNERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.


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