Performing Under Adverse Conditions: On the Problem of Self-Organizing Production a Re-Definition

Achieving desired overall behavior in self-organizing manufacturing systems poses a challenge for individual agents, which must align their actions and decisions amidst complex, dynamic, and often conflicting conditions. Addressing this challenge requires connecting industry requirements, system properties, and agent capacities to match specific problems with suitable solutions. This paper explores how integrating performant social models such as empathy can enhance agents' abilities to perceive, reason and act cooperatively in order to contribute to systems behavioral desirability. By identifying key conflicts and potentials, we propose a conception for aligning agent-level actions with global systems objectives to meet industrial demands effectively.