CS 8520: Artificial Intelligence Conclusions

1. CS 8520: Artificial IntelligenceConclusions Paula Matuszek Fall, 2005 CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. IJCAI 2005 Workshops • 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 • 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 Multi-Agent Systems • Neural-Symbolic Learning and Reasoning • Trading Agent Design and Analysis CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005

10. Where Will We Be in 25 Years? 2004 ?? 2029 ?? CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005

11. And what if we get there? CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 2005