Intelligence without representation
Artificial Intelligence
Explorations in evolutionary robotics
Adaptive Behavior
Synthetic ethology and the evolution of cooperative communication
Adaptive Behavior
To adaptive individuals in evolving populations
Adaptive individuals in evolving populations
The causes and effects of evolutionary simulation in the behavioral sciences
Adaptive individuals in evolving populations
An investigation into the evolution of communication
Adaptive Behavior
A continuous evolutionary simulation model of the attainability of honest signalling equilibria
ALIFE Proceedings of the sixth international conference on Artificial life
Natural language from artificial life
Artificial Life
Emergence of Communication and Language
Emergence of Communication and Language
Editorial: Language Evolution: Computer Models for Empirical Data
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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Observations of alarm calling behavior in putty-nosed monkeys are suggestive of a link with human language evolution. However, as is often the case in studies of animal behavior and cognition, competing theories are underdetermined by the available data. We argue that computational modeling, and in particular the use of individual-based simulations, is an effective way to reduce the size of the pool of candidate explanations. Simulation achieves this both through the classification of evolutionary trajectories as either plausible or implausible, and by putting lower bounds on the cognitive complexity required to perform particular behaviors. A case is made for using both of these strategies to understand the extent to which the alarm calls of putty-nosed monkeys are likely to be a good model for human language evolution.