A guide to expert systems
Artificial intelligence and expert systems: case studies in the knowledge domain of archaeology
Artificial intelligence and expert systems: case studies in the knowledge domain of archaeology
The Handbook of Applied Expert Systems
The Handbook of Applied Expert Systems
Jess in Action: Java Rule-Based Systems
Jess in Action: Java Rule-Based Systems
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In this paper we present ArchES, a novel rule-based system implemented as a web tool for formulating and testing hypothetical archaeological social scenarios. Scenarios are organized by archaeologists and are based on rules and facts that derive from findings in excavation areas. ArchES analyses different variables that encode social factors affecting areas and findings, in the past as well as the present. The presented tool was implemented using Java web technologies and Jess as the rule engine. ArchES is part of the SeeArchWeb project that aims to develop a new instructional approach for the domain of Archaeology.