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IJCAI 2013
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, ChinaLIST | IJCAI 2013
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China INTRODUCTION STATE-SPACE SEARCH ALGORITHMS FOR CLASSICAL Introduction State-Space Search SAT Symbolic search Planners Evaluation References Algorithms for Classical Planning Jussi RintanenBeijing, IJCAI 2013
TUTORIAL ON OPTIMAL ALGORITHMS FOR LEARNING BAYESIAN NETWORKS 1-5 Basic probability theory • Probability theory has to do with experiments that have a set of distinct outcomes/values – E.g. toss a coin with outcome being head or tail • A random variable is a function on an outcome space: it assigns a unique value to each outcome in the domain – Weather: sunny, rainy, cloudy, snowy • In the case of a finite domain, every subset of the outcome SENTIMENT ANALYSIS TUTORIAL Sentiment analysis applications Businesses and organizations Benchmark products and services; market intelligence. Businesses spend a huge amount of money to find consumer opinions using consultants, surveys and focus groups, etc Individuals Make decisions to purchase products or to use services Find public opinions about political candidates andissues
TRANSFER LEARNING WITH APPLICATIONS Transfer Learning with Applications . Sinno Jialin Pan. 1, Qiang Yang. 2, 3. and Wei Fan . 1 . Institute for Infocomm Research, Singapore . 2 . Hong Kong University of Science and Technology WE’RE ALREADY SUCCEEDING People want to make AI they owe obligations to, can fall in love with, etc. – “equals” over which we have complete dominion. Joanna J. Bryson and Philip P. Kime, “Just an Artifact: Why Machines are Perceived as Moral Agents”, The Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, pp. 1641–1646, Morgan Kaufmann, 2011.IJCAI 2013
IJCAI 2013
TWENTY-THIRD INTERNATIONAL JOINT CONFERENCE ON … AUGUST 3-9, 2013 BEIJING, CHINA Beijing International Convention Center (BICC), www.ijcai-13.org TWENTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL R-CALCULUS: A LOGICAL FRAMEWORK FOR SCIENTI C DISCOVERY Outline Motivation Key Points R-calculus Einstein Darwin Conclusion 1.1 Philosophy: General Process of Scienti c Discovery In this process: 1 A scienti c theory is a consistent set of laws or principles which are conjectures extracted from and made forspecifying
IJCAI 2013
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, ChinaLIST | IJCAI 2013
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China INTRODUCTION STATE-SPACE SEARCH ALGORITHMS FOR CLASSICAL Introduction State-Space Search SAT Symbolic search Planners Evaluation References Algorithms for Classical Planning Jussi RintanenBeijing, IJCAI 2013
TUTORIAL ON OPTIMAL ALGORITHMS FOR LEARNING BAYESIAN NETWORKS 1-5 Basic probability theory • Probability theory has to do with experiments that have a set of distinct outcomes/values – E.g. toss a coin with outcome being head or tail • A random variable is a function on an outcome space: it assigns a unique value to each outcome in the domain – Weather: sunny, rainy, cloudy, snowy • In the case of a finite domain, every subset of the outcome SENTIMENT ANALYSIS TUTORIAL Sentiment analysis applications Businesses and organizations Benchmark products and services; market intelligence. Businesses spend a huge amount of money to find consumer opinions using consultants, surveys and focus groups, etc Individuals Make decisions to purchase products or to use services Find public opinions about political candidates andissues
TRANSFER LEARNING WITH APPLICATIONS Transfer Learning with Applications . Sinno Jialin Pan. 1, Qiang Yang. 2, 3. and Wei Fan . 1 . Institute for Infocomm Research, Singapore . 2 . Hong Kong University of Science and Technology WE’RE ALREADY SUCCEEDING People want to make AI they owe obligations to, can fall in love with, etc. – “equals” over which we have complete dominion. Joanna J. Bryson and Philip P. Kime, “Just an Artifact: Why Machines are Perceived as Moral Agents”, The Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, pp. 1641–1646, Morgan Kaufmann, 2011.IJCAI 2013
IJCAI 2013
TWENTY-THIRD INTERNATIONAL JOINT CONFERENCE ON … AUGUST 3-9, 2013 BEIJING, CHINA Beijing International Convention Center (BICC), www.ijcai-13.org TWENTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL R-CALCULUS: A LOGICAL FRAMEWORK FOR SCIENTI C DISCOVERY Outline Motivation Key Points R-calculus Einstein Darwin Conclusion 1.1 Philosophy: General Process of Scienti c Discovery In this process: 1 A scienti c theory is a consistent set of laws or principles which are conjectures extracted from and made forspecifying
IJCAI-13 PROCEEDINGS 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, ChinaDOWNLOAD SECTION
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China SLIDES AND OTHER MATERIAL 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China IJCAI 2013 DISTINGUISHED PAPERS 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, ChinaCALL FOR PAPERS
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China 23RD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL Policy on Multiple Submissions IJCAI 2013 will not accept any paper which, at the time of submission, is under review for or has alreadybeen published,
ANSWER SET SOLVING IN PRACTICE Answer Set Solving in Practice Martin Gebser and Torsten Schaub University of Potsdam torsten@cs.uni-potsdam.de Potassco Slide Packages are licensed under a R-CALCULUS: A LOGICAL FRAMEWORK FOR SCIENTI C DISCOVERY Outline Motivation Key Points R-calculus Einstein Darwin Conclusion 1.1 Philosophy: General Process of Scienti c Discovery In this process: 1 A scienti c theory is a consistent set of laws or principles which are conjectures extracted from and made forspecifying
RUSSELL-FUTURE OF AI Tocreateintelligentsystems5! Themoreintelligent,thebeer! Webelievewecansucceed5! Limitedonlybyingenuityandphysics5! Progressisaccelerating5IJCAI13.ORG
Moved Permanently. The document has moved here.IJCAI 2013
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, ChinaLIST | IJCAI 2013
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China INTRODUCTION STATE-SPACE SEARCH ALGORITHMS FOR CLASSICAL Introduction State-Space Search SAT Symbolic search Planners Evaluation References Algorithms for Classical Planning Jussi RintanenBeijing, IJCAI 2013
TUTORIAL ON OPTIMAL ALGORITHMS FOR LEARNING BAYESIAN NETWORKS 1-5 Basic probability theory • Probability theory has to do with experiments that have a set of distinct outcomes/values – E.g. toss a coin with outcome being head or tail • A random variable is a function on an outcome space: it assigns a unique value to each outcome in the domain – Weather: sunny, rainy, cloudy, snowy • In the case of a finite domain, every subset of the outcome SENTIMENT ANALYSIS TUTORIAL Sentiment analysis applications Businesses and organizations Benchmark products and services; market intelligence. Businesses spend a huge amount of money to find consumer opinions using consultants, surveys and focus groups, etc Individuals Make decisions to purchase products or to use services Find public opinions about political candidates andissues
TRANSFER LEARNING WITH APPLICATIONS Transfer Learning with Applications . Sinno Jialin Pan. 1, Qiang Yang. 2, 3. and Wei Fan . 1 . Institute for Infocomm Research, Singapore . 2 . Hong Kong University of Science and Technology WE’RE ALREADY SUCCEEDING People want to make AI they owe obligations to, can fall in love with, etc. – “equals” over which we have complete dominion. Joanna J. Bryson and Philip P. Kime, “Just an Artifact: Why Machines are Perceived as Moral Agents”, The Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, pp. 1641–1646, Morgan Kaufmann, 2011.IJCAI 2013
IJCAI 2013
TWENTY-THIRD INTERNATIONAL JOINT CONFERENCE ON … AUGUST 3-9, 2013 BEIJING, CHINA Beijing International Convention Center (BICC), www.ijcai-13.org TWENTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL R-CALCULUS: A LOGICAL FRAMEWORK FOR SCIENTI C DISCOVERY Outline Motivation Key Points R-calculus Einstein Darwin Conclusion 1.1 Philosophy: General Process of Scienti c Discovery In this process: 1 A scienti c theory is a consistent set of laws or principles which are conjectures extracted from and made forspecifying
IJCAI 2013
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, ChinaLIST | IJCAI 2013
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China INTRODUCTION STATE-SPACE SEARCH ALGORITHMS FOR CLASSICAL Introduction State-Space Search SAT Symbolic search Planners Evaluation References Algorithms for Classical Planning Jussi RintanenBeijing, IJCAI 2013
TUTORIAL ON OPTIMAL ALGORITHMS FOR LEARNING BAYESIAN NETWORKS 1-5 Basic probability theory • Probability theory has to do with experiments that have a set of distinct outcomes/values – E.g. toss a coin with outcome being head or tail • A random variable is a function on an outcome space: it assigns a unique value to each outcome in the domain – Weather: sunny, rainy, cloudy, snowy • In the case of a finite domain, every subset of the outcome SENTIMENT ANALYSIS TUTORIAL Sentiment analysis applications Businesses and organizations Benchmark products and services; market intelligence. Businesses spend a huge amount of money to find consumer opinions using consultants, surveys and focus groups, etc Individuals Make decisions to purchase products or to use services Find public opinions about political candidates andissues
TRANSFER LEARNING WITH APPLICATIONS Transfer Learning with Applications . Sinno Jialin Pan. 1, Qiang Yang. 2, 3. and Wei Fan . 1 . Institute for Infocomm Research, Singapore . 2 . Hong Kong University of Science and Technology WE’RE ALREADY SUCCEEDING People want to make AI they owe obligations to, can fall in love with, etc. – “equals” over which we have complete dominion. Joanna J. Bryson and Philip P. Kime, “Just an Artifact: Why Machines are Perceived as Moral Agents”, The Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, pp. 1641–1646, Morgan Kaufmann, 2011.IJCAI 2013
IJCAI 2013
TWENTY-THIRD INTERNATIONAL JOINT CONFERENCE ON … AUGUST 3-9, 2013 BEIJING, CHINA Beijing International Convention Center (BICC), www.ijcai-13.org TWENTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL R-CALCULUS: A LOGICAL FRAMEWORK FOR SCIENTI C DISCOVERY Outline Motivation Key Points R-calculus Einstein Darwin Conclusion 1.1 Philosophy: General Process of Scienti c Discovery In this process: 1 A scienti c theory is a consistent set of laws or principles which are conjectures extracted from and made forspecifying
IJCAI-13 PROCEEDINGS 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, ChinaDOWNLOAD SECTION
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China SLIDES AND OTHER MATERIAL 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China IJCAI 2013 DISTINGUISHED PAPERS 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, ChinaCALL FOR PAPERS
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China 23RD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL Policy on Multiple Submissions IJCAI 2013 will not accept any paper which, at the time of submission, is under review for or has alreadybeen published,
ANSWER SET SOLVING IN PRACTICE Answer Set Solving in Practice Martin Gebser and Torsten Schaub University of Potsdam torsten@cs.uni-potsdam.de Potassco Slide Packages are licensed under a R-CALCULUS: A LOGICAL FRAMEWORK FOR SCIENTI C DISCOVERY Outline Motivation Key Points R-calculus Einstein Darwin Conclusion 1.1 Philosophy: General Process of Scienti c Discovery In this process: 1 A scienti c theory is a consistent set of laws or principles which are conjectures extracted from and made forspecifying
RUSSELL-FUTURE OF AI Tocreateintelligentsystems5! Themoreintelligent,thebeer! Webelievewecansucceed5! Limitedonlybyingenuityandphysics5! Progressisaccelerating5IJCAI13.ORG
Moved Permanently. The document has moved here.IJCAI 2013
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China INTRODUCTION STATE-SPACE SEARCH ALGORITHMS FOR CLASSICAL Introduction State-Space Search SAT Symbolic search Planners Evaluation References Algorithms for Classical Planning Jussi RintanenBeijing, IJCAI 2013
TUTORIAL ON OPTIMAL ALGORITHMS FOR LEARNING BAYESIAN NETWORKS 1-5 Basic probability theory • Probability theory has to do with experiments that have a set of distinct outcomes/values – E.g. toss a coin with outcome being head or tail • A random variable is a function on an outcome space: it assigns a unique value to each outcome in the domain – Weather: sunny, rainy, cloudy, snowy • In the case of a finite domain, every subset of the outcome SENTIMENT ANALYSIS TUTORIAL Sentiment analysis applications Businesses and organizations Benchmark products and services; market intelligence. Businesses spend a huge amount of money to find consumer opinions using consultants, surveys and focus groups, etc Individuals Make decisions to purchase products or to use services Find public opinions about political candidates andissues
ANSWER SET SOLVING IN PRACTICE Answer Set Solving in Practice Martin Gebser and Torsten Schaub University of Potsdam torsten@cs.uni-potsdam.de Potassco Slide Packages are licensed under a WE’RE ALREADY SUCCEEDING People want to make AI they owe obligations to, can fall in love with, etc. – “equals” over which we have complete dominion. Joanna J. Bryson and Philip P. Kime, “Just an Artifact: Why Machines are Perceived as Moral Agents”, The Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, pp. 1641–1646, Morgan Kaufmann, 2011.IJCAI 2013
IJCAI 2013
ON OUR BEST BEHAVIOUR On our best behaviour Hector J. Levesque Dept. of Computer Science University of Toronto Toronto, Ontario Canada M5S 3A6 hector@cs.toronto.edu Abstract ANDERS SANDBERG FUTURE OF HUMANITY INSTITUTE OXFORD UNIVERSITY *No reason to think human intelligence is ceiling, nor that transition village idiot to Einstein will be slow * Even near human-level AI is potentially a gamechanger * Intelligence is very powerful * Ask the chimpanzees * The ”Omohundro-Yudkowsky hypothesis”: generic motivations are unfriendly * The safety/motivation problem is hard andunderstudied
IJCAI13.ORG
Moved Permanently. The document has moved here.IJCAI 2013
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China INTRODUCTION STATE-SPACE SEARCH ALGORITHMS FOR CLASSICAL Introduction State-Space Search SAT Symbolic search Planners Evaluation References Algorithms for Classical Planning Jussi RintanenBeijing, IJCAI 2013
TUTORIAL ON OPTIMAL ALGORITHMS FOR LEARNING BAYESIAN NETWORKS 1-5 Basic probability theory • Probability theory has to do with experiments that have a set of distinct outcomes/values – E.g. toss a coin with outcome being head or tail • A random variable is a function on an outcome space: it assigns a unique value to each outcome in the domain – Weather: sunny, rainy, cloudy, snowy • In the case of a finite domain, every subset of the outcome SENTIMENT ANALYSIS TUTORIAL Sentiment analysis applications Businesses and organizations Benchmark products and services; market intelligence. Businesses spend a huge amount of money to find consumer opinions using consultants, surveys and focus groups, etc Individuals Make decisions to purchase products or to use services Find public opinions about political candidates andissues
ANSWER SET SOLVING IN PRACTICE Answer Set Solving in Practice Martin Gebser and Torsten Schaub University of Potsdam torsten@cs.uni-potsdam.de Potassco Slide Packages are licensed under a WE’RE ALREADY SUCCEEDING People want to make AI they owe obligations to, can fall in love with, etc. – “equals” over which we have complete dominion. Joanna J. Bryson and Philip P. Kime, “Just an Artifact: Why Machines are Perceived as Moral Agents”, The Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, pp. 1641–1646, Morgan Kaufmann, 2011.IJCAI 2013
IJCAI 2013
ON OUR BEST BEHAVIOUR On our best behaviour Hector J. Levesque Dept. of Computer Science University of Toronto Toronto, Ontario Canada M5S 3A6 hector@cs.toronto.edu Abstract ANDERS SANDBERG FUTURE OF HUMANITY INSTITUTE OXFORD UNIVERSITY *No reason to think human intelligence is ceiling, nor that transition village idiot to Einstein will be slow * Even near human-level AI is potentially a gamechanger * Intelligence is very powerful * Ask the chimpanzees * The ”Omohundro-Yudkowsky hypothesis”: generic motivations are unfriendly * The safety/motivation problem is hard andunderstudied
IJCAI13.ORG
Moved Permanently. The document has moved here. INSTRUCTION FOR ORAL PRESENTATIONS 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China TRANSFER LEARNING WITH APPLICATIONS Transfer Learning with Applications . Sinno Jialin Pan. 1, Qiang Yang. 2, 3. and Wei Fan . 1 . Institute for Infocomm Research, Singapore . 2 . Hong Kong University of Science and Technology 23RD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL Policy on Multiple Submissions IJCAI 2013 will not accept any paper which, at the time of submission, is under review for or has alreadybeen published,
LOGICS FOR MAS: A CRITICAL OVERVIEW No K & nonstrat.No K & strat.Ki & no actionsKi & nonstrat.Ki & strat.KJ & no actionKJ & no strat.KJ & strat. Logics for MAS: a critical overview Andreas Herzig CNRS, University of Toulouse, IRIT, France IJCAI 2013, August 9, 2013WWW.IJCAI13.ORG
Moved Permanently. The document has moved here. RUSSELL-FUTURE OF AI Tocreateintelligentsystems5! Themoreintelligent,thebeer! Webelievewecansucceed5! Limitedonlybyingenuityandphysics5! Progressisaccelerating5 TWENTY-THIRD INTERNATIONAL JOINT CONFERENCE ON … AUGUST 3-9, 2013 BEIJING, CHINA Beijing International Convention Center (BICC), www.ijcai-13.org TWENTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL ANDERS SANDBERG FUTURE OF HUMANITY INSTITUTE OXFORD UNIVERSITY *No reason to think human intelligence is ceiling, nor that transition village idiot to Einstein will be slow * Even near human-level AI is potentially a gamechanger * Intelligence is very powerful * Ask the chimpanzees * The ”Omohundro-Yudkowsky hypothesis”: generic motivations are unfriendly * The safety/motivation problem is hard andunderstudied
R-CALCULUS: A LOGICAL FRAMEWORK FOR SCIENTI C DISCOVERY Outline Motivation Key Points R-calculus Einstein Darwin Conclusion 1.1 Philosophy: General Process of Scienti c Discovery In this process: 1 A scienti c theory is a consistent set of laws or principles which are conjectures extracted from and made forspecifying
IJCAI13.ORG
Moved Permanently. The document has moved here.IJCAI 2013
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China INTRODUCTION STATE-SPACE SEARCH ALGORITHMS FOR CLASSICAL Introduction State-Space Search SAT Symbolic search Planners Evaluation References Algorithms for Classical Planning Jussi RintanenBeijing, IJCAI 2013
TUTORIAL ON OPTIMAL ALGORITHMS FOR LEARNING BAYESIAN NETWORKS 1-5 Basic probability theory • Probability theory has to do with experiments that have a set of distinct outcomes/values – E.g. toss a coin with outcome being head or tail • A random variable is a function on an outcome space: it assigns a unique value to each outcome in the domain – Weather: sunny, rainy, cloudy, snowy • In the case of a finite domain, every subset of the outcome SENTIMENT ANALYSIS TUTORIAL Sentiment analysis applications Businesses and organizations Benchmark products and services; market intelligence. Businesses spend a huge amount of money to find consumer opinions using consultants, surveys and focus groups, etc Individuals Make decisions to purchase products or to use services Find public opinions about political candidates andissues
ANSWER SET SOLVING IN PRACTICE Answer Set Solving in Practice Martin Gebser and Torsten Schaub University of Potsdam torsten@cs.uni-potsdam.de Potassco Slide Packages are licensed under a WE’RE ALREADY SUCCEEDING People want to make AI they owe obligations to, can fall in love with, etc. – “equals” over which we have complete dominion. Joanna J. Bryson and Philip P. Kime, “Just an Artifact: Why Machines are Perceived as Moral Agents”, The Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, pp. 1641–1646, Morgan Kaufmann, 2011.IJCAI 2013
IJCAI 2013
ON OUR BEST BEHAVIOUR On our best behaviour Hector J. Levesque Dept. of Computer Science University of Toronto Toronto, Ontario Canada M5S 3A6 hector@cs.toronto.edu Abstract ANDERS SANDBERG FUTURE OF HUMANITY INSTITUTE OXFORD UNIVERSITY *No reason to think human intelligence is ceiling, nor that transition village idiot to Einstein will be slow * Even near human-level AI is potentially a gamechanger * Intelligence is very powerful * Ask the chimpanzees * The ”Omohundro-Yudkowsky hypothesis”: generic motivations are unfriendly * The safety/motivation problem is hard andunderstudied
IJCAI13.ORG
Moved Permanently. The document has moved here.IJCAI 2013
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China INTRODUCTION STATE-SPACE SEARCH ALGORITHMS FOR CLASSICAL Introduction State-Space Search SAT Symbolic search Planners Evaluation References Algorithms for Classical Planning Jussi RintanenBeijing, IJCAI 2013
TUTORIAL ON OPTIMAL ALGORITHMS FOR LEARNING BAYESIAN NETWORKS 1-5 Basic probability theory • Probability theory has to do with experiments that have a set of distinct outcomes/values – E.g. toss a coin with outcome being head or tail • A random variable is a function on an outcome space: it assigns a unique value to each outcome in the domain – Weather: sunny, rainy, cloudy, snowy • In the case of a finite domain, every subset of the outcome SENTIMENT ANALYSIS TUTORIAL Sentiment analysis applications Businesses and organizations Benchmark products and services; market intelligence. Businesses spend a huge amount of money to find consumer opinions using consultants, surveys and focus groups, etc Individuals Make decisions to purchase products or to use services Find public opinions about political candidates andissues
ANSWER SET SOLVING IN PRACTICE Answer Set Solving in Practice Martin Gebser and Torsten Schaub University of Potsdam torsten@cs.uni-potsdam.de Potassco Slide Packages are licensed under a WE’RE ALREADY SUCCEEDING People want to make AI they owe obligations to, can fall in love with, etc. – “equals” over which we have complete dominion. Joanna J. Bryson and Philip P. Kime, “Just an Artifact: Why Machines are Perceived as Moral Agents”, The Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, pp. 1641–1646, Morgan Kaufmann, 2011.IJCAI 2013
IJCAI 2013
ON OUR BEST BEHAVIOUR On our best behaviour Hector J. Levesque Dept. of Computer Science University of Toronto Toronto, Ontario Canada M5S 3A6 hector@cs.toronto.edu Abstract ANDERS SANDBERG FUTURE OF HUMANITY INSTITUTE OXFORD UNIVERSITY *No reason to think human intelligence is ceiling, nor that transition village idiot to Einstein will be slow * Even near human-level AI is potentially a gamechanger * Intelligence is very powerful * Ask the chimpanzees * The ”Omohundro-Yudkowsky hypothesis”: generic motivations are unfriendly * The safety/motivation problem is hard andunderstudied
IJCAI13.ORG
Moved Permanently. The document has moved here. INSTRUCTION FOR ORAL PRESENTATIONS 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China TRANSFER LEARNING WITH APPLICATIONS Transfer Learning with Applications . Sinno Jialin Pan. 1, Qiang Yang. 2, 3. and Wei Fan . 1 . Institute for Infocomm Research, Singapore . 2 . Hong Kong University of Science and Technology 23RD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL Policy on Multiple Submissions IJCAI 2013 will not accept any paper which, at the time of submission, is under review for or has alreadybeen published,
LOGICS FOR MAS: A CRITICAL OVERVIEW No K & nonstrat.No K & strat.Ki & no actionsKi & nonstrat.Ki & strat.KJ & no actionKJ & no strat.KJ & strat. Logics for MAS: a critical overview Andreas Herzig CNRS, University of Toulouse, IRIT, France IJCAI 2013, August 9, 2013WWW.IJCAI13.ORG
Moved Permanently. The document has moved here. RUSSELL-FUTURE OF AI Tocreateintelligentsystems5! Themoreintelligent,thebeer! Webelievewecansucceed5! Limitedonlybyingenuityandphysics5! Progressisaccelerating5 TWENTY-THIRD INTERNATIONAL JOINT CONFERENCE ON … AUGUST 3-9, 2013 BEIJING, CHINA Beijing International Convention Center (BICC), www.ijcai-13.org TWENTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL ANDERS SANDBERG FUTURE OF HUMANITY INSTITUTE OXFORD UNIVERSITY *No reason to think human intelligence is ceiling, nor that transition village idiot to Einstein will be slow * Even near human-level AI is potentially a gamechanger * Intelligence is very powerful * Ask the chimpanzees * The ”Omohundro-Yudkowsky hypothesis”: generic motivations are unfriendly * The safety/motivation problem is hard andunderstudied
R-CALCULUS: A LOGICAL FRAMEWORK FOR SCIENTI C DISCOVERY Outline Motivation Key Points R-calculus Einstein Darwin Conclusion 1.1 Philosophy: General Process of Scienti c Discovery In this process: 1 A scienti c theory is a consistent set of laws or principles which are conjectures extracted from and made forspecifying
IJCAI13.ORG
Moved Permanently. The document has moved here.IJCAI 2013
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China INSTRUCTION FOR ORAL PRESENTATIONS 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, ChinaIJCAI 2013
IJCAI 2013
SENTIMENT ANALYSIS TUTORIAL Sentiment analysis applications Businesses and organizations Benchmark products and services; market intelligence. Businesses spend a huge amount of money to find consumer opinions using consultants, surveys and focus groups, etc Individuals Make decisions to purchase products or to use services Find public opinions about political candidates andissues
WE’RE ALREADY SUCCEEDING People want to make AI they owe obligations to, can fall in love with, etc. – “equals” over which we have complete dominion. Joanna J. Bryson and Philip P. Kime, “Just an Artifact: Why Machines are Perceived as Moral Agents”, The Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, pp. 1641–1646, Morgan Kaufmann, 2011. ANSWER SET SOLVING IN PRACTICE Answer Set Solving in Practice Martin Gebser and Torsten Schaub University of Potsdam torsten@cs.uni-potsdam.de Potassco Slide Packages are licensed under a LOGICS FOR MAS: A CRITICAL OVERVIEW No K & nonstrat.No K & strat.Ki & no actionsKi & nonstrat.Ki & strat.KJ & no actionKJ & no strat.KJ & strat. Logics for MAS: a critical overview Andreas Herzig CNRS, University of ON OUR BEST BEHAVIOUR On our best behaviour Hector J. Levesque Dept. of Computer Science University of Toronto Toronto, Ontario Canada M5S 3A6 hector@cs.toronto.edu Abstract RUSSELL FUTURE OF AI Tocreateintelligentsystems5! Themoreintelligent,thebeer! Webelievewecansucceed5! Limitedonlybyingenuityandphysics5! Progressisaccelerating5 KAUTZ-FUTURE OF AI-1 Weareremarkablybadat$ predictingtheformtechnologywill take,andhowitwillchangeour lives0! Werarelyenvisiontheactualas$ evenoneofthepossiblefutures0IJCAI 2013
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China INSTRUCTION FOR ORAL PRESENTATIONS 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, ChinaIJCAI 2013
IJCAI 2013
SENTIMENT ANALYSIS TUTORIAL Sentiment analysis applications Businesses and organizations Benchmark products and services; market intelligence. Businesses spend a huge amount of money to find consumer opinions using consultants, surveys and focus groups, etc Individuals Make decisions to purchase products or to use services Find public opinions about political candidates andissues
WE’RE ALREADY SUCCEEDING People want to make AI they owe obligations to, can fall in love with, etc. – “equals” over which we have complete dominion. Joanna J. Bryson and Philip P. Kime, “Just an Artifact: Why Machines are Perceived as Moral Agents”, The Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, pp. 1641–1646, Morgan Kaufmann, 2011. ANSWER SET SOLVING IN PRACTICE Answer Set Solving in Practice Martin Gebser and Torsten Schaub University of Potsdam torsten@cs.uni-potsdam.de Potassco Slide Packages are licensed under a LOGICS FOR MAS: A CRITICAL OVERVIEW No K & nonstrat.No K & strat.Ki & no actionsKi & nonstrat.Ki & strat.KJ & no actionKJ & no strat.KJ & strat. Logics for MAS: a critical overview Andreas Herzig CNRS, University of ON OUR BEST BEHAVIOUR On our best behaviour Hector J. Levesque Dept. of Computer Science University of Toronto Toronto, Ontario Canada M5S 3A6 hector@cs.toronto.edu Abstract RUSSELL FUTURE OF AI Tocreateintelligentsystems5! Themoreintelligent,thebeer! Webelievewecansucceed5! Limitedonlybyingenuityandphysics5! Progressisaccelerating5 KAUTZ-FUTURE OF AI-1 Weareremarkablybadat$ predictingtheformtechnologywill take,andhowitwillchangeour lives0! Werarelyenvisiontheactualas$ evenoneofthepossiblefutures0 INSTRUCTION FOR ORAL PRESENTATIONS 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China INTRODUCTION STATE-SPACE SEARCH ALGORITHMS FOR CLASSICAL Introduction State-Space Search SAT Symbolic search Planners Evaluation References Algorithms for Classical Planning Jussi RintanenBeijing, IJCAI 2013
ANSWER SET SOLVING IN PRACTICE Answer Set Solving in Practice Martin Gebser and Torsten Schaub University of Potsdam torsten@cs.uni-potsdam.de Potassco Slide Packages are licensed under aWWW.IJCAI13.ORG
Moved Permanently. The document has moved here. TRANSFER LEARNING WITH APPLICATIONS Transfer Learning with Applications . Sinno Jialin Pan. 1, Qiang Yang. 2, 3. and Wei Fan . 1 . Institute for Infocomm Research, Singapore . 2 . Hong Kong University of Science and Technology TWENTY-THIRD INTERNATIONAL JOINT CONFERENCE ON … AUGUST 3-9, 2013 BEIJING, CHINA Beijing International Convention Center (BICC), www.ijcai-13.org TWENTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL R-CALCULUS: A LOGICAL FRAMEWORK FOR SCIENTI C DISCOVERY Outline Motivation Key Points R-calculus Einstein Darwin Conclusion 1.1 Philosophy: General Process of Scienti c Discovery In this process: 1 A scienti c theory is a consistent set of laws or principles which are conjectures extracted from and made forspecifying
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Moved Permanently. The document has moved here. ANDERS SANDBERG FUTURE OF HUMANITY INSTITUTE OXFORD UNIVERSITY *No reason to think human intelligence is ceiling, nor that transition village idiot to Einstein will be slow * Even near human-level AI is potentially a gamechanger * Intelligence is very powerful * Ask the chimpanzees * The ”Omohundro-Yudkowsky hypothesis”: generic motivations are unfriendly * The safety/motivation problem is hard andunderstudied
NOTE: THIS VIDEO IS AVAILABLE AT HTTP://WWW.YOUTUBE.COM Man versus Machine? US Airways Flight 1549 Asiana Airlines Flight 214 Southwest Airlines Flight 345 IJCAI 2013 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013).When August, 3rd, 2013- August, 9th, 2013 Where Beijing International Convention CenterJump to navigation
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