| Vaario, J.; Hori, K.; and Ohsuga, S. 1995. Toward evolutionary design of autonomous systems. Int. Journal in Computer Simulation 5:187--206. |
....information from any number of sensors. There also exist several approaches coding some sensor parameters genetically (Cliff, Harvey, Husbands 1993) Menczer Belew 1994) Todd Wilson 1993) or switching off given sensors (Balakrishnan Honavar 1996) Nolfi, Miglino, Parisi 1994) (Vaario, Hori, Ohsuga 1995) introduce a complex model forming agents and sensors by production rules. Since the simulation of sensor evolution is a very complex task that cannot be solved satisfactorily with the currently available computer power, our aim is to concentrate on the simulation of the evolution of two eye ....
Vaario, J.; Hori, K.; and Ohsuga, S. 1995. Toward evolutionary design of autonomous systems. Int. Journal in Computer Simulation 5:187--206.
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[Article contains additional citation context not shown here]
Jari Vaario, Koichi Hori, and Setsuo Ohsuga. Toward evolutionary design of autonomous systems. The International Journal in Computer Simulation, ?(?):?, ? 1994. (to appear) yVaario ga94cVaario.
....variations (phylogenesis) These processes are illustrated in Figure 2. Figure 2 about here. We have thus far reported the results of a simulation mechanism as a method to construct intelligent behavior in [10, 12] A mechanism for evolutionary design and model building has been discussed in [5, 11]. A detailed description of the simulation mechanism can be found in [9] This paper is a continuation of the previous work reporting the latest results. 3 Computational Model A computational model is based on the concept of production rules inspired by Lindenmayer systems [7] However, instead ....
....signals into the network, and the created effector activity moves the organism according to the received signals. To simulate this, the above production rules can be extended to model the sensor activity as well as the movement of organisms according to the generated forces. This is discussed in [11] and here only a short summary is given in Figure 16. Figure 16 about here. A special issue of journal Informatica Jari Vaario: From Evolutionary Computation to Computational Evolution 6 PHYLOGENESIS OF ORGANISMS Page 12 6 Phylogenesis of Organisms The organisms behaving in the environment ....
Jari Vaario, Koichi Hori, and Setsuo Ohsuga. Toward evolutionary design of autonomous systems. The International Journal in Computer Simulation, a special issue on high autonomous systems. (to appear).
....in which it is living [10] The first preliminary results were reported in [8] for general tree dimensional structures and in [7] for neural structures to control light seeking behavior. Here the new results include the avoidance behavior as well as behaviorial evolution. The earlier work [13, 12] reports similar behavior generation by using a production rule approach. First the background of the research is explained with a discussion of the merits of modeling the growth process, and this is followed by a detailled description of the modeling method itself. The behavior generated by the ....
Jari Vaario, Koichi Hori, and Setsuo Ohsuga. Toward evolutionary design of autonomous systems. The International Journal in Computer Simulation, 5:187---206, 1995.
No context found.
Jari Vaario, Koichi Hori, and Setsuo Ohsuga. Toward evolutionary design of autonomous systems. The International Journal in Computer Simulation, a special issue on high autonomous systems, 1993. (to appear).
No context found.
Jari Vaario, Koichi Hori, and Setsuo Ohsuga. Toward Evolutionary Design of Autonomous Systems. The International Journal in Computer Simulation, 1994. (to appear).
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