CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 20051 CS 8520: Artificial Intelligence Conclusions Paula Matuszek Fall, 2005.

Slides:



Advertisements
Similar presentations
Cognitive Systems, ICANN panel, Q1 What is machine intelligence, as beyond pattern matching, classification and prediction. What is machine intelligence,
Advertisements

Becerra-Fernandez, et al. -- Knowledge Management 1/e -- © 2004 Prentice Hall Chapter 7 Technologies to Manage Knowledge: Artificial Intelligence.
An Introduction to Artificial Intelligence Presented by : M. Eftekhari.
Markov Logic Networks Instructor: Pedro Domingos.
AI 授課教師:顏士淨 2013/09/12 1. Part I & Part II 2  Part I Artificial Intelligence 1 Introduction 2 Intelligent Agents Part II Problem Solving 3 Solving Problems.
Bart Selman CS CS 475: Uncertainty and Multi-Agent Systems Prof. Bart Selman Introduction.
WHAT IS ARTIFICIAL INTELLIGENCE?
CSE111: Great Ideas in Computer Science Dr. Carl Alphonce 219 Bell Hall Office hours: M-F 11:00-11:
MS DB Proposal Scott Canaan B. Thomas Golisano College of Computing & Information Sciences.
Artificial Intelligence and Lisp Lecture 13 Additional Topics in Artificial Intelligence LiU Course TDDC65 Autumn Semester, 2010
PSU CS 370 – Artificial Intelligence Dr. Mohamed Tounsi Artificial Intelligence 1. Introduction Dr. M. Tounsi.
COMP 4640 Intelligent & Interactive Systems Cheryl Seals, Ph.D. Computer Science & Software Engineering Auburn University.
CSE 574: Artificial Intelligence II Statistical Relational Learning Instructor: Pedro Domingos.
Introduction to Artificial Intelligence Prof. Kathleen McKeown 722 CEPSR, TAs: Kapil Thadani 724 CEPSR, Phong Pham TA Room.
Chapter 12: Intelligent Systems in Business
Developing Intelligent Agents and Multiagent Systems for Educational Applications Leen-Kiat Soh Department of Computer Science and Engineering University.
CIS 410/510 Probabilistic Methods for Artificial Intelligence Instructor: Daniel Lowd.
CSE 515 Statistical Methods in Computer Science Instructor: Pedro Domingos.
Copyright R. Weber INFO 629 Concepts in Artificial Intelligence Fall 2004 Professor: Dr. Rosina Weber.
Artificial Intelligence What’s Possible, What’s Not, How Do We Move Forward? Adam Cheyer Co-Founder, VP Engineering Siri Inc.
Introduction to AI, H. Feili 1 Introduction to Artificial Intelligence LECTURE 1: Introduction What is AI? Foundations of AI The.
Dr.Abeer Mahmoud ARTIFICIAL INTELLIGENCE (CS 461D) Dr. Abeer Mahmoud Computer science Department Princess Nora University Faculty of Computer & Information.
Chapter 11: Artificial Intelligence
Artificial Intelligence Dr. Paul Wagner Department of Computer Science University of Wisconsin – Eau Claire.
Introduction to Artificial Intelligence. What is AI?
Lecture 1CS250: Intro to AI/Lisp Computers & Thought Lecture 1 January 5th, 1999 CS250.
Steps Toward an AGI Roadmap Włodek Duch ( Google: W. Duch) AGI, Memphis, 1-2 March 2007 Roadmaps: A Ten Year Roadmap to Machines with Common Sense (Push.
10/3/2015 ARTIFICIAL INTELLIGENCE Russell and Norvig ARTIFICIAL INTELLIGENCE: A Modern Approach.
CS6700 Advanced AI Bart Selman. Admin Project oriented course Projects --- research style or implementation style with experimental component. 1 or 2.
Artificial Intelligence Introductory Lecture Jennifer J. Burg Department of Mathematics and Computer Science.
Linked-data and the Internet of Things Payam Barnaghi Centre for Communication Systems Research University of Surrey March 2012.
Weak AI: Can Machines Act Intelligently? Some things they can do: –Computer vision: face recognition from a large set –Robotics: autonomous (mostly) car.
How Solvable Is Intelligence? A brief introduction to AI Dr. Richard Fox Department of Computer Science Northern Kentucky University.
1 CS 2710, ISSP 2610 Foundations of Artificial Intelligence introduction.
1 CSI 5180: Topics in AI: Natural Language Processing, A Statistical Approach Instructor: Nathalie Japkowicz Objectives of.
CS621 : Artificial Intelligence Pushpak Bhattacharyya CSE Dept., IIT Bombay Lecture 1 - Introduction.
CS344: Introduction to Artificial Intelligence (associated lab: CS386) Pushpak Bhattacharyya CSE Dept., IIT Bombay Lecture–39: Recap.
1 Introduction to Artificial Intelligence (Lecture 1)
Lecture 1: Introduction Heshaam Faili University of Tehran What is AI? Foundations of AI The History of AI State of the Art.
1 2010/2011 Semester 2 Introduction: Chapter 1 ARTIFICIAL INTELLIGENCE.
AI: Can Machines Think? Juntae Kim Department of Computer Engineering Dongguk University.
Cognitive Systems Foresight Language and Speech. Cognitive Systems Foresight Language and Speech How does the human system organise itself, as a neuro-biological.
Of 33 lecture 1: introduction. of 33 the semantic web vision today’s web (1) web content – for human consumption (no structural information) people search.
ICT-enabled Agricultural Science for Development Scenarios, Opportunities, Issues by ICTs transforming agricultural science, research & technology generation.
University of Kurdistan Artificial Intelligence Methods (AIM) Lecturer: Kaveh Mollazade, Ph.D. Department of Biosystems Engineering, Faculty of Agriculture,
Introduction to Artificial Intelligence CS 438 Spring 2008.
Spring, 2005 CSE391 – Lecture 1 1 Introduction to Artificial Intelligence Martha Palmer CSE391 Spring, 2005.
Artificial Intelligence: Research and Collaborative Possibilities a presentation by: Dr. Ernest L. McDuffie, Assistant Professor Department of Computer.
A Brief History of AI Fall 2013 COMP3710 Artificial Intelligence Computing Science Thompson Rivers University.
CS382 Introduction to Artificial Intelligence Lecture 1: The Foundations of AI and Intelligent Agents 24 January 2012 Instructor: Kostas Bekris Computer.

COMP 4640 Intelligent & Interactive Systems Cheryl Seals, Ph.D. Computer Science & Software Engineering Auburn University.
1 Artificial Intelligence & Prolog Programming CSL 302.
The Hebrew University of Jerusalem School of Engineering and Computer Science Academic Year: 2011/2012 Instructor: Jeff Rosenschein.
Artificial Intelligence
Introduction to Artificial Intelligence Heshaam Faili University of Tehran.
Introduction to Artificial Intelligence Prof. Kathleen McKeown 722 CEPSR Tas: Andrew Rosenberg Speech Lab, 7 th Floor CEPSR Sowmya Vishwanath TA Room.
Brief Intro to Machine Learning CS539
Chapter 11: Artificial Intelligence
Artificial intelligence (AI)
Chapter 11: Artificial Intelligence
Artificial Intelligence (CS 370D)
Artificial Intelligence and Lisp Lecture 13 Additional Topics in Artificial Intelligence LiU Course TDDC65 Autumn Semester,
COMP 4640 Intelligent & Interactive Systems
Basic Intro Tutorial on Machine Learning and Data Mining
Course Instructor: knza ch
Artificial Intelligence Lecture 2: Foundation of Artificial Intelligence By: Nur Uddin, Ph.D.
TA : Mubarakah Otbi, Duaa al Ofi , Huda al Hakami
AI Application Session 12
Presentation transcript:

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

CSC 8520: Artificial Intelligence. Paula Matuszek, Fall 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 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 What Next? AAAI/IAAI 2005 Invited SpeakersInvited 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 AAAI/IAAI 2005 PapersPapers 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 What Next? IJCAI 2005 Invited SpeakersInvited 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 IJCAI 2005 Papers Presented Papers: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 AAAI 2005 WorkshopsWorkshops 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 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 Multi- Agent 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 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 Where Will We Be in 25 Years? 2004 ?? 2029 ??

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