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CS 8520: Artificial Intelligence Conclusions Paula Matuszek Fall, 2005 CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005 1 Weak AI: Can Machines Act Intelligently? • Some things they can do: – – – – – – Computer vision: face recognition from a large set Robotics: autonomous car Natural language processing: simple machine translation Spoken language systems: ~1000 word continuous speech Learning: text categorization into ~1000 topics Games: Grand Master level in chess (world champion), etc. • Some ways they do it: – Search – Knowledge Representation – Machine Learning • So -- yes or no? CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005 2 Strong AI: Can Machines Really Think? • Argument from consciousness, Chinese Room – – – – Computer programs are formal, syntactic entities Minds have mental contents, or semantics Syntax is not by itself sufficient for semantics Brains cause minds. • What do we mean by "really think"? CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005 3 What Next? • • • • • • • • • • • • AAAI/IAAI 2005 Invited Speakers Internal Grounding, Reflection and the Illusion of Self-Consciousness, Marvin Minsky. AI: More than the Sum of its Parts, Ronald J. Brachman Knowledge as Power: A View from the Semantic Web, James Hendler How Can AI and Robotics Help Us Understand Social Animal Behavior?, Tucker Balch From Knowledge to Intelligence — Building Blocks and Applications, Chitta Baral Multiagent Learning in Games, Amy Greenwald Faceted Metadata in Search Interfaces, Marti Hearst Representation Policy Iteration: A Unified Framework for Learning Behavior and Representation, Sridhar Mahadevan May All Your Plans Succeed!, Dana S. Nau From AI Winter to AI Spring: Can a New Theory of Neocortex Lead to Truly Intelligent Machines? Jeff Hawkins Real World Applications of Genetic Programming: Circuits, Optics, Dynamic System Control, Martin A. Keane AI Meets Web 2.0: Building The Web of Tomorrow Today, Jay M. Tenenbaum CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005 4 AAAI/IAAI 2005 Papers • • • • • • • • • • • • • • • • • • • Activity and Plan Recognition: 5 Agents / Multiagent Systems: 27 Analogical and Case-Based Reasoning: 6 Auctions and Market-based Systems: 5 Automated Reasoning: 12 Constraint Satisfaction and Satisfiability: 20 Game Theory and Economic Models: 5 Human-Computer Interaction: 6 Knowledge Acquisition and Engineering: 2 Knowledge Representation and Reasoning: 19 Logic Programming: 4 Machine Learning: 35 Machine Perception: 5 Markov Decision Processes and Uncertainty: 11 Natural Language Processing and Speech Recognition: 15 Planning and Scheduling: 16 Robotics: 16 Search: 10 Semantic Web, Information Retrieval, and Extraction: 6 CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005 5 What Next? IJCAI 2005 Invited Speakers • • • • • • • • Visual Tracking of Objects in Motion, Andrew Blake The Quest for Efficient Probabilistic Inference, Adnan Darwiche Understanding Molecular Regulatory Mechanisms, Nir Friedman Babies and Bayes Nets: Causal Inference in Computers and Children, Alison Gopnik Designing Robots: From Artificial Limbs to Powerful, Energetic, Autonomous Humanoids, Stephen Jacobsen What's New in Statistical Machine Translation, Kevin Knight The Next Generation of Automated Reasoning Methods, Bart Selman Probabilistic Models of Human Sensorimotor Control, Daniel Wolper CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005 6 IJCAI 2005 Papers Presented Papers: Case-Based Reasoning: 5 papers Constraint Satisfaction and Search: 50 papers Knowledge Representation and Reasoning: 46 Learning: 46 Multi-Agent: 12 NLP: 30 Philosophical Foundations: 3 Planning: 13 Uncertainty: 19 User Interface and Modeling: 4 Vision and Robotics:11 CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005 7 AAAI 2005 Workshops • Contexts and Ontologies: Theory, Practice and Applications • Educational Data Mining • Exploring Planning and Scheduling for Web Services, Grid and Autonomic Computing • Human Comprehensible Machine Learning • Inference for Textual Question Answering • Integrating Planning into Scheduling • Learning in Computer Vision • Link Analysis • Mobile Robot Workshop • Modular Construction of Human-Like Intelligence • Multiagent Learning • Question Answering in Restricted Domains • Spoken Language Understanding CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005 8 IJCAI 2005 Workshops • Agents Applied in Health Care • • • • • • • • Computational Creativity Configuration Distributed Constraint Reasoning Modelling Others from Observations Model-Based Systems Advances in Preference Handling AI and Autonomic Communications Game Theoretic and Decision Theoretic Agents Spatial and Temporal Reasoning Modelling and Retrieval of Context Intelligent Techniques for Web Personalization Logic and Communication in MultiAgent Systems Neural-Symbolic Learning and Reasoning Trading Agent Design and Analysis • • • • • • •Agents in Real-Time and Dynamic Environments •Knowledge and Reasoning for Answering Questions •Grammatical Inference Applications: Successes and Future Challenges Modelling and Solving Problems with Constraints Multi-Agent Information Retrieval and Recommender Systems Reasoning, Representation, and Learning in Computer Games •Knowledge Management and Organisational Memories women@CL: Graduate Career Development for Women in Computing Research Planning and Learning in A Priori Unknown or Dynamic Domains •Computational Models of Natural Argument •Reasoning with Uncertainty in Robotics •Nonmonotonic Reasoning, Action, and Change •Knowledge and Reasoning in Practical Dialogue Systems CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005 9 Where Will We Be in 25 Years? 2004 ?? 2029 ?? CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005 10 And what if we get there? CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005 11