Achieving Human-Level Intelligence through Integrated Systems and Research: Introduction to This Special Issue

Nicholas Cassimatis, Erik T. Mueller, Patrick Henry Winston

Abstract


This special issue is based on the premise that in order to achieve human-level artificial intelligence researchers will have to find ways to integrate insights from multiple computational frameworks and to exploit insights from other fields that study intelligence. Articles in this issue describe recent approaches for integrating algorithms and data structures from diverse subfields of AI. Much of this work incorporates insights from neuroscience, social and cognitive psychology or linguistics. The new applications and significant improvements to existing applications this work has enabled demonstrates the ability of integrated systems and research to continue progress towards human-level artificial intelligence.

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DOI: http://dx.doi.org/10.1609/aimag.v27i2.1876

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