University of Hertfordshire

By the same authors

An Informational Study of the Evolution of Codes in Different Population Structures

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

An Informational Study of the Evolution of Codes in Different Population Structures. / Burgos, Andrés; Polani, D.

ALIFE 14: Procs of the 14th Int Conf on the Synthesis and Simulation of living Systems. ed. / Hiroki Sayama. MIT Press, 2014. p. 352-359.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Burgos, A & Polani, D 2014, An Informational Study of the Evolution of Codes in Different Population Structures. in H Sayama (ed.), ALIFE 14: Procs of the 14th Int Conf on the Synthesis and Simulation of living Systems. MIT Press, pp. 352-359, ALIFE 2014, New York, United States, 30/07/14. https://doi.org/10.7551/978-0-262-32621-6-ch056

APA

Burgos, A., & Polani, D. (2014). An Informational Study of the Evolution of Codes in Different Population Structures. In H. Sayama (Ed.), ALIFE 14: Procs of the 14th Int Conf on the Synthesis and Simulation of living Systems (pp. 352-359). MIT Press. https://doi.org/10.7551/978-0-262-32621-6-ch056

Vancouver

Burgos A, Polani D. An Informational Study of the Evolution of Codes in Different Population Structures. In Sayama H, editor, ALIFE 14: Procs of the 14th Int Conf on the Synthesis and Simulation of living Systems. MIT Press. 2014. p. 352-359 https://doi.org/10.7551/978-0-262-32621-6-ch056

Author

Burgos, Andrés ; Polani, D. / An Informational Study of the Evolution of Codes in Different Population Structures. ALIFE 14: Procs of the 14th Int Conf on the Synthesis and Simulation of living Systems. editor / Hiroki Sayama. MIT Press, 2014. pp. 352-359

Bibtex

@inproceedings{ebd4add283774466866047e4687c3ca5,
title = "An Informational Study of the Evolution of Codes in Different Population Structures",
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.",
author = "Andr{\'e}s Burgos and D. Polani",
note = "Best Student Paper Award. Attribution-NonCommercial-NoDerivs 3.0 United States; ALIFE 2014 ; Conference date: 30-07-2014 Through 02-08-2014",
year = "2014",
doi = "10.7551/978-0-262-32621-6-ch056",
language = "English",
pages = "352--359",
editor = "Hiroki Sayama",
booktitle = "ALIFE 14",
publisher = "MIT Press",

}

RIS

TY - GEN

T1 - An Informational Study of the Evolution of Codes in Different Population Structures

AU - Burgos, Andrés

AU - Polani, D.

N1 - Best Student Paper Award. Attribution-NonCommercial-NoDerivs 3.0 United States

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

U2 - 10.7551/978-0-262-32621-6-ch056

DO - 10.7551/978-0-262-32621-6-ch056

M3 - Conference contribution

SP - 352

EP - 359

BT - ALIFE 14

A2 - Sayama, Hiroki

PB - MIT Press

T2 - ALIFE 2014

Y2 - 30 July 2014 through 2 August 2014

ER -