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https://hdl.handle.net/10216/349Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | António Pereira | |
| dc.creator | Pedro Duarte | |
| dc.creator | Luís Paulo Reis | |
| dc.date.accessioned | 2022-09-09T20:23:25Z | - |
| dc.date.available | 2022-09-09T20:23:25Z | - |
| dc.date.issued | 2004 | |
| dc.identifier.other | sigarra:56302 | |
| dc.identifier.uri | https://hdl.handle.net/10216/349 | - |
| dc.description.abstract | Coastal lagoons ecosystems are very complex to model and its global behaviour its hard to simulate. This com-plexity is even greater if the simulation model includes the intelligent entities like decision-makers involved in the system. Typical ecological simulations include only models of entities that have a very easy to predict behaviour (using mathematical equations and/or simple logical rules). However, in real ecological systems, man is heavily involved and his decisions are not based on fixed mathematical equations or simples rules but con-trarily they are based on an in-depth analysis of the environment using his knowledge. This paper introduces an approach to intelligent ecological systems simulation using the agent-based approach. Intelligent entities are modelled as agents that have perception of their envi-ronment, reason using their knowledge and are able to change the simulated environment by using a given set of configurable actions. | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Agent-Based Simulation | |
| dc.rights | restrictedAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Engenharia de computadores, Exploração sustentável | |
| dc.subject | Computer engineering, Exploração sustentável | |
| dc.title | Agent-Based Simulation of Ecological Models | |
| dc.type | Artigo em Livro de Atas de Conferência Internacional | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 56302.pdf Restricted Access | 177.01 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License