The original goal of the AI field was the construction of “thinking machines” – that is, computer systems with human-like general intelligence. As this task turned out to be way more difficult than initially expected, the majority of AI researchers have spent the last decades focusing on the less ambitious goal referred to as “narrow AI” – the production of AI systems exhibiting intelligence only with respect to specific, highly constrained tasks. In recent years, however, more and more researchers have recognized the necessity – and feasibility – of returning to the original goals of the field. Reasons for the new optimism in attempting to tackle the mentioned old goals are based on new developments in computer science, engineering, and insights in disciplines trying to understand cognition. Examples of such developments are the dramatic increase in computing resources, the digital availability of huge amounts of knowledge, new machine learning paradigms, the possibility to build highly sophisticated robotic applications, and new findings and inspiration from neuroscience and cognitive science. Increasingly, there is a call for a transition back to facing the more difficult issues of “human-level intelligence” and more broadly “artificial general intelligence (AGI).”

The AGI conference series is the premier international forum for cutting-edge research focusing on the original goal of the AI field — the creation of thinking machines with general intelligence at the human level and ultimately beyond. The AGI conference series is held in cooperation with AAAI, and AGI-13 will co-locate with IJCAI-13.

Like its predecessors, AGI-13 will gather researchers in AGI and associated disciplines for wide-ranging presentation and discussion of approaches, architectures, algorithms and ideas relevant to the advancement of artificial general intelligence.

Topics

As in prior AGI conferences, we welcome papers on all aspects of AGI R&D, with the key proviso that each paper should in some way contribute specifically to the development of Artificial General Intelligence. Appropriate topics for contributed papers include, but are not restricted to:

• Agent Architectures
• Autonomy
• Benchmarks and Evaluation
• Cognitive Modeling
• Collaborative Intelligence
• Creativity
• Distributed AI
• Implications of AGI for Society, Economy and Ecology
• Integration of Different Capabilities
• Knowledge Representation for General Intelligence
• Languages, Specification Approaches and Toolkits
• Learning and Learning Theory
• Motivation, Emotion, and Affect
• Multi-Agent Interaction
• Natural Language Understanding
• Neural-Symbolic Processing
• Perception and Perceptual Modeling
• Philosophy of AI
• Rationality
• Reasoning, Inference, and Planning
• Robotics and Virtual Embodiment
• Simulation and Emergent Behavior