A computational model of biological cells is presented, conceptualizing them as networks of thousands of coordinated analog computing programs, orchestrated by sensors responsive to environmental cues, particularly chemical concentration gradients. These cellular sensors function as dynamic biological variables, performing decision-making to modulate biochemical processes across a continuum of states. By interpreting cells as information-processing systems, this model elucidates their core behaviors, overcoming the formidable complexity of underlying physicochemical interactions.