Enabling Cognition through Weighted Cognitive Maps

6.1    Introduction

A variety of tools have been utilized in the design of cognitive networks: neural networks, genetic algorithms, game theory, and expert systems, among others [1]. However, generally speaking, most of these tools either require long training periods or their complexity increases significantly as the considered variables increase.

In this chapter we consider weighted cognitive maps (WCMs) as a tool to provide a parametrized representation of the conflicting processes of the system. WCMs were first proposed in [13] and [14] as efficient tools to implement cognition in wireless sensor networks. In WCMs, each process, environment variable, or end-to-end goal is simply represented ...

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