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A Study of the Simulated Evolution of the Spectral Sensitivity of Visual Agent Receptors. / Liese, A.; Polani, D.; Uthmann, T.

In: Artificial life, Vol. 7, No. 2, 2001, p. 99-124.

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@article{8a2c527fefe24e53933c047ee5ba593e,
title = "A Study of the Simulated Evolution of the Spectral Sensitivity of Visual Agent Receptors",
abstract = "In this article we study a model for the evolution of the spectral sensitivity of visual receptors for agents in a continuous virtual environment. The model uses a genetic algorithm (GA) to evolve the agent sensors along with the control of the agents by requiring the agents to solve certain tasks in the simulation environment. The properties of the evolved sensors are analyzed for different scenarios. In particular, it is shown that the GA is able to find a balance between sensor costs and agent performance in such a way that the spectral sensor sensitivity reflects the emission spectrum of the target objects and that the capability of the sensors to evolve can help the agents significantly in adapting to their task.",
author = "A. Liese and D. Polani and T. Uthmann",
note = "Original article can be found at: http://www.mitpressjournals.org/alife Copyright The MIT Press. DOI: 10.1162/106454601753138961 [Full text of this article is not available in the UHRA]",
year = "2001",
doi = "10.1162/106454601753138961",
language = "English",
volume = "7",
pages = "99--124",
journal = "Artificial Life",
issn = "1064-5462",
publisher = "MIT Press Journals",
number = "2",

}

RIS

TY - JOUR

T1 - A Study of the Simulated Evolution of the Spectral Sensitivity of Visual Agent Receptors

AU - Liese, A.

AU - Polani, D.

AU - Uthmann, T.

N1 - Original article can be found at: http://www.mitpressjournals.org/alife Copyright The MIT Press. DOI: 10.1162/106454601753138961 [Full text of this article is not available in the UHRA]

PY - 2001

Y1 - 2001

N2 - In this article we study a model for the evolution of the spectral sensitivity of visual receptors for agents in a continuous virtual environment. The model uses a genetic algorithm (GA) to evolve the agent sensors along with the control of the agents by requiring the agents to solve certain tasks in the simulation environment. The properties of the evolved sensors are analyzed for different scenarios. In particular, it is shown that the GA is able to find a balance between sensor costs and agent performance in such a way that the spectral sensor sensitivity reflects the emission spectrum of the target objects and that the capability of the sensors to evolve can help the agents significantly in adapting to their task.

AB - In this article we study a model for the evolution of the spectral sensitivity of visual receptors for agents in a continuous virtual environment. The model uses a genetic algorithm (GA) to evolve the agent sensors along with the control of the agents by requiring the agents to solve certain tasks in the simulation environment. The properties of the evolved sensors are analyzed for different scenarios. In particular, it is shown that the GA is able to find a balance between sensor costs and agent performance in such a way that the spectral sensor sensitivity reflects the emission spectrum of the target objects and that the capability of the sensors to evolve can help the agents significantly in adapting to their task.

U2 - 10.1162/106454601753138961

DO - 10.1162/106454601753138961

M3 - Article

VL - 7

SP - 99

EP - 124

JO - Artificial Life

JF - Artificial Life

SN - 1064-5462

IS - 2

ER -