We analyze the behavior of a simple genetic algorithm (GA) which is used to simulate the learning behavior of a population of interacting agents. Due to the fact that in this setup-contrary to traditional optimization setups-the fitness of a string depends on the current state of the population, exi
On the generation of interactive iconic environments
โ Scribed by GENNARO COSTAGLIOLA; SERGIO OREFICE; GIUSEPPE POLESE; MAURIZIO TUCCI; GENOVEFFA TORTORA
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 583 KB
- Volume
- 50
- Category
- Article
- ISSN
- 1071-5819
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โฆ Synopsis
Iconic languages have been frequently used in human-computer interfaces. Although the syntax of simple iconic languages may be intuitively suggested by the icons themselves, an unexperienced user might "nd it di$cult to construct syntactically correct iconic sentences in a complex visual environment.
The paper presents a technique or the generation of interactive syntax-directed iconic environments. The user can easily interact with the generated iconic environment thanks to an underlying syntactic mechanism which suggests both the current feasible set of icons and their feasible positions on the screen. We have implemented a prototype tool based on this technique and used it experimentally to generate several practical iconic environments.
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