By Catrin Misselhorn
This booklet brings jointly philosophical methods to cooperation and collective supplier with study into human-machine interplay and cooperation from engineering, robotics, machine technological know-how and AI. Bringing those thus far principally unrelated fields of analysis jointly ends up in a greater figuring out of collective employer in usual and synthetic platforms and may aid to enhance the layout and function of hybrid platforms related to human and synthetic brokers. Modeling collective company with the aid of machine simulations grants additionally philosophical insights into the emergence of collective agency.
The quantity contains 4 sections. the 1st part is devoted to the concept that of business enterprise. the second one element of the booklet turns to human-machine cooperation. the focal point of the 3rd part is the transition from cooperation to collective supplier. The final part matters the explanatory worth of social simulations of collective company within the broader framework of cultural evolution.
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Additional info for Collective Agency and Cooperation in Natural and Artificial Systems: Explanation, Implementation and Simulation
These studies show that robots are capable of cooperation on a behavioral dimension. Now we go further to specify the preconditions that are needed to describe cooperation on the cognitive dimension. Let us consider the minimal criteria: (ai) two (or more) agents perform actions to pursue the same goal, and (aii) the agents know that they have the same goal. This requires not only representing the own goal but also the goal of the other agent as well as recognizing that these goals are one and the same.
It requires the ability to reflect upon beliefs and desires which pertains to persons. Groups do not have this capacity per se, but only via their members. Whether the group members can exercise this capacity depends on the organizational structure of the group. If it involves measures that make sure that the group’s beliefs and desires are reflected by the members then a group may satisfy the second condition. The biggest challenge is, however, the third condition. On the one hand, the actions of a group agent can only be executed by its members.
1) In order to construct MAS that are to collectively perform certain tasks one has to know what kind of agents are required and what kinds of collective agency are available in a type of MAS to fulfill the task most efficiently. With respect to hybrid systems, the question is how one can optimize interaction, cooperation and collective agency among different types of agents. This concerns specifically systems involving humans and artificial agents. A good example is provided by the contribution of Behrendt, Funk and Korn to this volume.
Collective Agency and Cooperation in Natural and Artificial Systems: Explanation, Implementation and Simulation by Catrin Misselhorn