| 1. |
- Aktius, Malin, et al.
(author)
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A Behavior-Based Model of the Hydra, Phylum Cnidaria
- 2007
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In: 9th European Conference, ECAL 2007. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783540749127 ; , s. 1024-1033
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Conference paper (peer-reviewed)abstract
- Behavior-based artificial systems, e.g. mobile robots, are frequently designed using (various degrees and levels of) biology as inspiration, but rarely modeled based on actual quantitative empirical data. This paper presents a data-driven behavior-based model of a simple biological organism, the hydra. Four constituent behaviors were implemented in a simulated animal, and the overall behavior organization was accomplished using a colony-style architecture (CSA). The results indicate that the CSA, using a priority-based behavioral hierarchy suggested in the literature, can be used to model behavioral properties like latency, activation threshold, habituation, and duration of the individual behaviors of the hydra. Limitations of this behavior-based approach are also discussed.
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| 2. |
- Dahlstedt, Palle, 1971
(author)
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Autonomous Evolution of Complete Piano Pieces and Performances
- 2007
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In: Proceedings of MusicAL Workshop, in Fernando Almeida e Costa et al (Eds.): Advances in Artificial Life, 9th European Conference, ECAL 2007, Lisbon, Portugal, September 10-14, 2007, Proceedings (Workshop CDROM). Lecture Notes in Computer Science 4648 Springer 2007. - 9783540749127
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Conference paper (peer-reviewed)abstract
- Evolutionary algorithms are used to evolve musical score material and corresponding performance data, in an autonomous process. In this way complete piano compositions are created and subsequently performed on a computer-controlled grand piano. The efficiency of the creative evolution depends to a large extent on the representation used, which in this case is based on recursively described binary trees. They can represent a wide variety of musical material and corresponding performance data in a compact form, with an inherent potential for musically meaningful variations and archetypal musical gestures. This is combined with a set of automated formalized selection criteria based on experiences from human selection processes in a previous, interactive version of the same system, leading to surprisingly musical output and convincing performances. The system is also capable of rudimentary learning, through recycling of its own musical output, and an accumulated database of human musical input.
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| 3. |
- Montebelli, Alberto, et al.
(author)
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An Analysis of Behavioral Attractor Dynamics
- 2007
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In: 9th European Conference, ECAL 2007. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783540749127 - 9783540749134 ; , s. 213-222
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Conference paper (peer-reviewed)abstract
- The interaction of brain, body and environment can result in complex behavior with rich dynamics even for relatively simple agents. Such dynamics are, however, often notoriously difficult to analyze. In this paper we explore the case of a simple simulated robotic agent, equipped with a reactive neurocontroller and an energy level, that the agent has been evolved to re-charge. A dynamical systems analysis, shows that a non-neural internal state (energy level), despite its simplicity, dynamically modulates the agent-environment system’s behavioral attractors, such that the robot’s behavioral repertoire is continually adapted to its current situation and energy level.
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