Venue: ICLR 2017 workshop

Reviews:

final_score: rating: 3: Clear rejection
review_content: This paper explores the idea of artificial general intelligence and how it can broadly be achieved.

While interesting, the contribution seems to be too broad and vague to fit into the ICLR program on representation learning, since ICLR typically involves concrete challenges in and methods for learning representations. It seems that this work would be of greater interest either to cognitive science conferences or AI conferences (e.g. AAAI or IJCAI).

Perhaps most importantly, the paper does not include any references to prior work in this area and how the ideas in the paper fit with such existing work. This is crucial for evaluating the usefulness of the ideas and placing the work among existing related literature.
review_title: Not a good fit for ICLR & lacking references

final_score: rating: 2: Strong rejection
review_content: This paper proposes *a workshop* on information, intelligence, evolution, subjectivity and their relationship. It's coming from an unaffiliated researcher. 

I don't see any specific proposals that I disagree with, but I think this is straightforwardly inappropriate for ICLR. The paper doesn't discuss any concrete issues involving representation learning in the ICLR sense, and is too broad to be meaningfully evaluated or used by the community.
review_title: Way outside the scope of ICLR

Decision: Reject