DAFTAR PUSTAKA
... Pak, A., & Paroubek, P. (2010). Twitter as a Corpus for Sentiment Analysis and Opinion Mining. Orsay Cedex: Universit´e de Paris-Sud. Pennacchiotti, M., & Popescu, A.-M. (2011). A Machine Learning Approach to Twitter User Classification. Sunnyvale: Association for the Advancement of Artificial. Poo, ...
... Pak, A., & Paroubek, P. (2010). Twitter as a Corpus for Sentiment Analysis and Opinion Mining. Orsay Cedex: Universit´e de Paris-Sud. Pennacchiotti, M., & Popescu, A.-M. (2011). A Machine Learning Approach to Twitter User Classification. Sunnyvale: Association for the Advancement of Artificial. Poo, ...
attribute_selection
... selection is done using the learning algorithm as a black box. Ron Kohavi, George H. John (1997). Wrappers for feature subset selection. Artificial Intelligence. 97(1-2):273-324. N. Gagunashvili (UNAK & MPIK) ...
... selection is done using the learning algorithm as a black box. Ron Kohavi, George H. John (1997). Wrappers for feature subset selection. Artificial Intelligence. 97(1-2):273-324. N. Gagunashvili (UNAK & MPIK) ...
Robots and rights report 1.2 - Biocentre
... with humans. The final group that Dr Bostrom considered was artificial intelligence that achieved greater than human intelligence: super-intelligence. The issues with super-intelligence become not just how we should treat them, but how they treat us, due to their level of power. This means that we o ...
... with humans. The final group that Dr Bostrom considered was artificial intelligence that achieved greater than human intelligence: super-intelligence. The issues with super-intelligence become not just how we should treat them, but how they treat us, due to their level of power. This means that we o ...
CYBERNETICS: A Definition
... to me and I composed the following text and incorporated a figure that I had created for an earlier purpose. My original text follows, which was published in a slightly reedited form. Final text is Copyright (c) Macmillan Publishing.] Artificial Intelligence and cybernetics: Aren't they the same thi ...
... to me and I composed the following text and incorporated a figure that I had created for an earlier purpose. My original text follows, which was published in a slightly reedited form. Final text is Copyright (c) Macmillan Publishing.] Artificial Intelligence and cybernetics: Aren't they the same thi ...
Review on Cognitive Architectures - Indian Journal of Science and
... Cognitive architecture is the overseas hypothesis of human comprehension in light of a wide choice of human exploratory information, and executed as a running computer recreation program. Youthful1,2,3,4,5 characterizes a psychological engineering as an encapsulation of “a logical speculation about ...
... Cognitive architecture is the overseas hypothesis of human comprehension in light of a wide choice of human exploratory information, and executed as a running computer recreation program. Youthful1,2,3,4,5 characterizes a psychological engineering as an encapsulation of “a logical speculation about ...
full text pdf
... It is argued here that most contemporary approaches to designing AGI systems fall into four toplevel categories: symbolic, emergentist, hybrid and universalist. Leading examples of each category are provided, and the generally perceived pros and cons of each category are summarized. Not all contempo ...
... It is argued here that most contemporary approaches to designing AGI systems fall into four toplevel categories: symbolic, emergentist, hybrid and universalist. Leading examples of each category are provided, and the generally perceived pros and cons of each category are summarized. Not all contempo ...
G52HPA: History and Philosophy of Artificial Intelligence Outline of
... Is AI possible in practice? • even if AI is possible in principle, it may be impossible in practice ...
... Is AI possible in practice? • even if AI is possible in principle, it may be impossible in practice ...
Reasoning and Acting in Time - Association for the Advancement of
... cognitive agent should first be pointed out. First, to appropriately behave in a changing world, an agent must be aware of its environment and the outcome of its acts, and ready to recover from errors, interrupts, and failure. Second, while acting, it should be capable of carrying out on-line natura ...
... cognitive agent should first be pointed out. First, to appropriately behave in a changing world, an agent must be aware of its environment and the outcome of its acts, and ready to recover from errors, interrupts, and failure. Second, while acting, it should be capable of carrying out on-line natura ...
Comparing Human and Automated Agents in a
... are often expensive to setup and test in the real-world, we introduce a simulated domain that embodies many of the problems we’re interested in solving (Stone et al. 2010). Prior work has explored the pursuit domain where one or more predator agents attempt to catch a number of prey agents (Benda, J ...
... are often expensive to setup and test in the real-world, we introduce a simulated domain that embodies many of the problems we’re interested in solving (Stone et al. 2010). Prior work has explored the pursuit domain where one or more predator agents attempt to catch a number of prey agents (Benda, J ...
AI - Computer Science
... An ancient gamed called Kalah or Mankalah uses stones and pits: 6 to a side and one on each end. 4 stones are initially placed in each side pit. None are in the end pits (called Kalahs – a player’s kalah is on her right). A move consists of picking up the stones in a pit and distributing them, one a ...
... An ancient gamed called Kalah or Mankalah uses stones and pits: 6 to a side and one on each end. 4 stones are initially placed in each side pit. None are in the end pits (called Kalahs – a player’s kalah is on her right). A move consists of picking up the stones in a pit and distributing them, one a ...
The IEEE Global Initiative for Ethical Considerations in Artificial
... He is an advisor to other nonprofits and companies where he advises on AI, knowledge management, and sustainability. He has over fifteen years’ experience in AI algorithms development, product team management, and CTO-level roles. Richard holds a degree in intelligent systems and computer science fr ...
... He is an advisor to other nonprofits and companies where he advises on AI, knowledge management, and sustainability. He has over fifteen years’ experience in AI algorithms development, product team management, and CTO-level roles. Richard holds a degree in intelligent systems and computer science fr ...
Lecture 1 Introduction to knowledge
... philosophy and history. Some people are good at making money, while others are better at spending it. As humans, we all have the ability to learn and understand, to solve problems and to make decisions; however, our abilities are not equal and lie in different areas. Therefore, we should expect that ...
... philosophy and history. Some people are good at making money, while others are better at spending it. As humans, we all have the ability to learn and understand, to solve problems and to make decisions; however, our abilities are not equal and lie in different areas. Therefore, we should expect that ...
Word - The Open University
... built? It's obvious that most of the examples I found were seen by their makers, and probably by the public too, simply as curiosities. One reason for building such lifelike machines, then, would have been to amuse, amaze, and milk money from the credulous – as in the case of the chess automata, or ...
... built? It's obvious that most of the examples I found were seen by their makers, and probably by the public too, simply as curiosities. One reason for building such lifelike machines, then, would have been to amuse, amaze, and milk money from the credulous – as in the case of the chess automata, or ...
Lecture 2 - KDD - Kansas State University
... – Improvement in proportion to DT strength (Figure 6): graphs showing gradual improvement as DT-learning ANNs get more training examples – Possible experimental issues • Highly local instance-based generalization: k-NN with k = 3 ...
... – Improvement in proportion to DT strength (Figure 6): graphs showing gradual improvement as DT-learning ANNs get more training examples – Possible experimental issues • Highly local instance-based generalization: k-NN with k = 3 ...
Intelligent Narrative Technologies: Papers from the
... publication (including electronic distribution) arising from this AAAI event. Please do not make any inquiries or arrangements for hardcopy or electronic publication of all or part of the papers contained in these working notes without first exploring the options available through AAAI Press and AI ...
... publication (including electronic distribution) arising from this AAAI event. Please do not make any inquiries or arrangements for hardcopy or electronic publication of all or part of the papers contained in these working notes without first exploring the options available through AAAI Press and AI ...
Evolution of Mind: The affective roots of culture and cognition
... This chapter charts an epistemological position on fundamental issues in the study of the evolution of the mind. We describe a non-modular model of affective mechanisms and its implications for an evolutionary approach to cognitive psychology. Most models of value generation are based either on beha ...
... This chapter charts an epistemological position on fundamental issues in the study of the evolution of the mind. We describe a non-modular model of affective mechanisms and its implications for an evolutionary approach to cognitive psychology. Most models of value generation are based either on beha ...
PPT
... Agents must have enough information in local environment to determine which action to take. How to take into account old or non-local information? How do reactive! agents learn? Emergence (between agent and environment) is hard to engineer. We don’t have a methodology. It is very hard to build agent ...
... Agents must have enough information in local environment to determine which action to take. How to take into account old or non-local information? How do reactive! agents learn? Emergence (between agent and environment) is hard to engineer. We don’t have a methodology. It is very hard to build agent ...
Bibliography
... Small Robot, Tech. Rep. UCLA-CRSP-94-01, Department of Cognitive Science, UCLA, 1994 [25] Miglino, O., Lund, H.H., and Nolfi, S. Evolving Mobile Robots in Simulated and Real Environments, Artificial Life, 2, pp. 417-434, 1996 [26] Moriarty, D. E. and Miikkulainen, R. Evolving obstacle avoidance beha ...
... Small Robot, Tech. Rep. UCLA-CRSP-94-01, Department of Cognitive Science, UCLA, 1994 [25] Miglino, O., Lund, H.H., and Nolfi, S. Evolving Mobile Robots in Simulated and Real Environments, Artificial Life, 2, pp. 417-434, 1996 [26] Moriarty, D. E. and Miikkulainen, R. Evolving obstacle avoidance beha ...
How AI is affecting kids` brains
... The little girl in the YouTube video is adorable. Staring intently at her new playmate, she shrieks with delight when he dances, and chuckles when he says he loves her. It’s easy to forget her friend doesn’t really exist. He’s an advanced robot called IXI-play, with QR scanners for eyes. It’s those ...
... The little girl in the YouTube video is adorable. Staring intently at her new playmate, she shrieks with delight when he dances, and chuckles when he says he loves her. It’s easy to forget her friend doesn’t really exist. He’s an advanced robot called IXI-play, with QR scanners for eyes. It’s those ...
in my own words The Future Comes on Two Robotic Feet
... talk about the pop culture side of things, which is where my expertise now lies. In the multiverse there’s a version of Daniel Wilson in a lab building robots. I miss it, and I wish I could do both things. But it’s hard to complain when I wake up in the morning and go write Superman for a little whi ...
... talk about the pop culture side of things, which is where my expertise now lies. In the multiverse there’s a version of Daniel Wilson in a lab building robots. I miss it, and I wish I could do both things. But it’s hard to complain when I wake up in the morning and go write Superman for a little whi ...
Planning - UTSA CS
... Forward Planning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Forward Planning Example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Forward Planning Comments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Regression P ...
... Forward Planning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Forward Planning Example. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Forward Planning Comments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Regression P ...
Chapter 11 Specialized Business Information Systems
... “Surely computers cannot be intelligent-they can only do what their programmers tell them.” Is the latter statement true and does it imply the former? ...
... “Surely computers cannot be intelligent-they can only do what their programmers tell them.” Is the latter statement true and does it imply the former? ...
- Notesvillage
... Rational Agents An agent is an entity that perceives and acts This course on AI is about designing rational agents Abstractly, an agent is a function from percept histories to actions: ...
... Rational Agents An agent is an entity that perceives and acts This course on AI is about designing rational agents Abstractly, an agent is a function from percept histories to actions: ...
kapor mitch speaks
... A computer has already been built that has beaten the world's best chess player, but few people would argue that Deep Blue can actually "think." This passage demonstrates an extremely simple view of language acquisition and childhood learning; or one might say that the understanding of these process ...
... A computer has already been built that has beaten the world's best chess player, but few people would argue that Deep Blue can actually "think." This passage demonstrates an extremely simple view of language acquisition and childhood learning; or one might say that the understanding of these process ...
Mind, computational theories of
... would do this at the expense of no longer being consistent: a contradiction could now be derived from their axioms. But this would not be a particularly remarkable fact: they would not explode or die. They would simply be disposed to believe a contradiction (a disposition many of us possess already ...
... would do this at the expense of no longer being consistent: a contradiction could now be derived from their axioms. But this would not be a particularly remarkable fact: they would not explode or die. They would simply be disposed to believe a contradiction (a disposition many of us possess already ...