Abstract
We consider the problem of the evolution of a code within a structured population of agents. The agents try to maximise 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 that one “knows” which other agents one observes, and thus which code they use. In our model, however, we wish to preclude that: it is not clear which other agents an agent is observing, and the resulting usable information is therefore influenced by the universality of the code used and by which agents an agent is “listening” to.
Original language | English |
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Title of host publication | ALIFE 14 |
Subtitle of host publication | Procs of the 14th Int Conf on the Synthesis and Simulation of living Systems |
Editors | Hiroki Sayama |
Publisher | MIT Press |
Pages | 352-359 |
Number of pages | 8 |
DOIs | |
Publication status | Published - 2014 |
Event | ALIFE 2014 - New York, United States Duration: 30 Jul 2014 → 2 Aug 2014 |
Conference
Conference | ALIFE 2014 |
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Country/Territory | United States |
City | New York |
Period | 30/07/14 → 2/08/14 |