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

A. Liese; D. Polani; T. Uthmann

doi:10.1162/106454601753138961

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

A. Liese, D. Polani, T. Uthmann

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

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.

Original language	English
Pages (from-to)	99-124
Journal	Artificial life
Volume	7
Issue number	2
DOIs	https://doi.org/10.1162/106454601753138961
Publication status	Published - 2001

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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",

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AU - Liese, A.

AU - Polani, D.

AU - Uthmann, T.

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PY - 2001

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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.

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JO - Artificial life

JF - Artificial life

IS - 2

ER -

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

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