In recent years some researchers have explored the use of reinforcement learning (RL)
algorithms as key components in the solution of various natural language processing (NLP) …

The ability to cooperate through language is a defining feature of humans. As the
perceptual, motory and planning capabilities of deep artificial networks increase …

The current mainstream approach to train natural language systems is to expose them to
large amounts of text. This passive learning is problematic if we are interested in developing …

The ability of algorithms to evolve or learn (compositional) communication protocols has
traditionally been studied in the language evolution literature through the use of emergent …

At a time of unprecedented expansion in the life sciences, evolution is the one theory that
transcends all of biology. Any observation of a living system must ultimately be interpreted in …

Simulation for the Social Scientist is a practical textbook on the techniques of building
computer simulations to assist understanding of social and economic issues and problems …

Cognitive ecology is the study of cognitive phenomena in context. In particular, it points to
the web of mutual dependence among the elements of a cognitive ecosystem. At least three …

Cognitive Design for Artificial Minds explains the crucial role that human cognition research
plays in the design and realization of artificial intelligence systems, illustrating the steps …

Evolutionary robotics is a new technqiue for the automatic creation of autonomous robots.
Inspired by the Darwinian principle of selective reproduction of the fittest, it views robots as …

The article analyzes the neural and functional grounding of language skills as well as their
emergence in hominid evolution, hypothesizing stages leading from abilities known to exist …