%0 Generic %1 marcus2020decade %A Marcus, Gary %D 2020 %K ai cognitive discussion future %T The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence %U http://arxiv.org/abs/2002.06177 %X Recent research in artificial intelligence and machine learning has largely emphasized general-purpose learning and ever-larger training sets and more and more compute. In contrast, I propose a hybrid, knowledge-driven, reasoning-based approach, centered around cognitive models, that could provide the substrate for a richer, more robust AI than is currently possible.

@misc{marcus2020decade, abstract = {Recent research in artificial intelligence and machine learning has largely emphasized general-purpose learning and ever-larger training sets and more and more compute. In contrast, I propose a hybrid, knowledge-driven, reasoning-based approach, centered around cognitive models, that could provide the substrate for a richer, more robust AI than is currently possible.}, added-at = {2020-12-04T11:08:21.000+0100}, author = {Marcus, Gary}, biburl = {https://www.bibsonomy.org/bibtex/2d9bcb3c8baf2625a774662a8232e25a4/louissf}, description = {The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence}, interhash = {05275d43c6e302cc43dda9f3971c77ad}, intrahash = {d9bcb3c8baf2625a774662a8232e25a4}, keywords = {ai cognitive discussion future}, note = {cite arxiv:2002.06177Comment: 5 figures}, timestamp = {2020-12-04T11:08:21.000+0100}, title = {The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence}, url = {http://arxiv.org/abs/2002.06177}, year = 2020 }