Mitigation of toxicity in marine mussels by autonomous mobile agents

We propose an autonomous algorithm for mobile agents in multisensor fusion. Our algorithm is based on the concept of mutual information (MI) and the bounds obtained for correlated information. The bounds are obtained by our technique of Determinant Inequalities to maximize the mutual information to achieve the conditions for autonomy. We demonstrate the superiority our autonomous algorithm over the Principal Component Analysis (PCA) in mitigating the trace element toxicity present in marine mussels.