Title
An informational study of the evolution of codes and of emerging concepts in populations of agents
Abstract
We consider the problem of the evolution of a code within a structured population of agents. The agents try to maximize their information about their environment by acquiring information from the outputs of other agents in the population. A naive use of information-theoretic methods would assume that every agent knows how to interpret the information offered by other agents. However, this assumes ...
Year
DOI
Venue
2015
10.1162/ARTL_a_00199
Artificial Life
Keywords
Field
DocType
Information theory,code evolution,semantics,emerging concepts
Information theory,USable,Population,Biological evolution,Computer science,Active listening,Artificial intelligence,Universality (philosophy),Code (cryptography),Semantics
Journal
Volume
Issue
ISSN
22
2
1064-5462
Citations 
PageRank 
References 
3
0.73
8
Authors
2
Name
Order
Citations
PageRank
Andrés Burgos161.79
Daniel Polani254970.25