Can Machines Design? An Artificial General Intelligence Approach

Andreas Makoto Hein (1) , Condat Hélène (2)

1 LGI - Laboratoire Génie Industriel - EA 2606
2 Initiative for Interstellar Studies i4is

Can machines design? Can they come up with creative solutions to problems and build tools and artifacts across a wide range of domains? Recent advances in the field of computational creativity and formal Artificial General Intelligence (AGI) provide frameworks for machines with the general ability to design. In this paper we propose to integrate a formal computational creativity framework into the Gödel machine framework. We call this machine a design Gödel machine. Such a machine could solve a variety of design problems by generating novel concepts. In addition, it could change the way these concepts are generated by modifying itself. The design Gödel machine is able to improve its initial design program, once it has proven that a modification would increase its return on the utility function. Finally, we sketch out a specific version of the design Gödel machine which specifically aims at the design of complex software and hardware systems. Future work could be the development of a more formal version of the Design Gödel machine and a potential implementation.

Domaines: Sciences de l'ingénieur [physics]; Intelligence artificielle [cs.AI]; Ingénierie, finance et science [cs.CE]; Systèmes embarqués; Sciences cognitives; Informatique

Andreas Makoto Hein, Condat Hélène. Can Machines Design? An Artificial General Intelligence Approach. 2018. ⟨hal-01809198⟩