A Case-Based Planning Mechanism for a Hardware-Embedded Reactive Agents Platform

Abstract

Wireless Sensor Networks is a key technology for gathering relevant in- formation from different sources. In this sense, Multi-Agent Systems can facilitate the integration of heterogeneous sensor networks and expand the sensors’ capa- bilities changing their behavior dynamically and personalizing their reactions. Both Wireless Sensor Networks and Multi-Agent Systems can be successfully applied to different management scenarios, such as logistics, supply chain or pro- duction. The Hardware-Embedded Reactive Agents (HERA) platform allows developing applications where agents are directly embedded in heterogeneous wireless sensor nodes with reduced computational resources. This paper presents the reasoning mechanism included in HERA to provide HERA Agents with Case- Based Planning features that allow solving problems considering past experiences.