Advances in Cognitive Systems: Papers from the AAAI Symposium
Pat Langley, Chair
Over the past 20 years, artificial intelligence has made substantial progress on many fronts, but only at the cost of fragmenting into subfields that focus on some facets to the exclusion of others. However, there remains a need for research that pursues the discipline’s original goal of developing intelligent systems that demonstrate the full range of human cognitive abilities. Many AI researchers remain committed in this goal, but they have no common place to gather and report their results.
The AAAI Fall Symposium on Advances in Cognitive Systems provided such a venue. The meeting brought together researchers with interests in human-level intelligence, complex cognition, integrated intelligent systems, cognitive architectures, commonsense reasoning, and related topics. The event harks a return to the initial goals of artificial intelligence and cognitive science, which aimed to explain intelligent behavior in computational terms and to reproduce the entire range of human cognition in computational artifacts. Topics covered at the meeting included the representation and organization of complex mental structures, their use in multistep reasoning and problem solving, and their acquisition from experience and instruction. Talks, posters, and discussions will address computational approaches to conceptual inference and reasoning, memory storage and retrieval, high-level execution and control, problem solving and heuristic search, language processing, social cognition and interaction, structural learning and knowledge capture, and metacognition. The common denominator is that research on these issues contributes toward creating and understanding complete intelligent systems.