Motivations behind modeling emotional agents: Whose
... It seems certain that, as we understand more about cognition, we will need to explore autonomous systems with limited resources that nevertheless cope successfully with multiple goals, uncertainty about environment, and coordination with other agents. In mammals, these cognitive design problems seem ...
... It seems certain that, as we understand more about cognition, we will need to explore autonomous systems with limited resources that nevertheless cope successfully with multiple goals, uncertainty about environment, and coordination with other agents. In mammals, these cognitive design problems seem ...
Basic Artificial Intelligence Research at the Georgia Institute of
... appropriate previous experiences? These investigations led to a number knowledge; and knowledge acquisiSeventh, based on what we know of conclusions: tion, learning, and instruction. Much about the role of experience in reaof our research has a strong cognitive soning, what kind of systems can we fl ...
... appropriate previous experiences? These investigations led to a number knowledge; and knowledge acquisiSeventh, based on what we know of conclusions: tion, learning, and instruction. Much about the role of experience in reaof our research has a strong cognitive soning, what kind of systems can we fl ...
Relativism: Cognitive and Moral
... as those suggested here, which seek to establish the preconditions for transcultural (and, by extension, intracultural) communication. Second, if this still fails to convince the really hard-boiled relativist, stubbornly committed to philosophic doubt, then he must be made to acknowledge the solipsi ...
... as those suggested here, which seek to establish the preconditions for transcultural (and, by extension, intracultural) communication. Second, if this still fails to convince the really hard-boiled relativist, stubbornly committed to philosophic doubt, then he must be made to acknowledge the solipsi ...
PDF
... automating human expert reasoning and heuristic knowledge to run production scheduling system. Knowledge-based systems focus on capturing the expertise or the experience of the expert in a specific domain and an inference mechanism is used to derive conclusion regarding the corrective action to unde ...
... automating human expert reasoning and heuristic knowledge to run production scheduling system. Knowledge-based systems focus on capturing the expertise or the experience of the expert in a specific domain and an inference mechanism is used to derive conclusion regarding the corrective action to unde ...
The Three Neurogenetic Phases of Human Consciousness
... highlighted in this article as well during the discussion of the current description of these three neurogenetic phases. The main points regarding the neurogenetics of human consciousness and the direct relationship that it maintains with DNA consciousness was discussed further at a presentation at ...
... highlighted in this article as well during the discussion of the current description of these three neurogenetic phases. The main points regarding the neurogenetics of human consciousness and the direct relationship that it maintains with DNA consciousness was discussed further at a presentation at ...
Karlsruhe Text - Tecfa
... courseware: the system is able to solve the problems that the learner has to solve. The system is knowledgeable in the domain to be taught. Of course, other computing techniques can produce a correct solution. The interest of AI techniques is less their ability to produce a correct solution than th ...
... courseware: the system is able to solve the problems that the learner has to solve. The system is knowledgeable in the domain to be taught. Of course, other computing techniques can produce a correct solution. The interest of AI techniques is less their ability to produce a correct solution than th ...
Theorem-Proving by Resolution as a Basis for
... on 'multi-purpose' or 'general problem-solving' tends to differ from questionanswering as described above by placing more emphasis on solving deeper, more difficult problems and less emphasis on user interaction, formality, and efficient retrieval of relevant facts from a large data base. The situat ...
... on 'multi-purpose' or 'general problem-solving' tends to differ from questionanswering as described above by placing more emphasis on solving deeper, more difficult problems and less emphasis on user interaction, formality, and efficient retrieval of relevant facts from a large data base. The situat ...
The role of artificial intelligence techniques in training
... courseware: the system is able to solve the problems that the learner has to solve. The system is knowledgeable in the domain to be taught. Of course, other computing techniques can produce a correct solution. The interest of AI techniques is less their ability to produce a correct solution than the ...
... courseware: the system is able to solve the problems that the learner has to solve. The system is knowledgeable in the domain to be taught. Of course, other computing techniques can produce a correct solution. The interest of AI techniques is less their ability to produce a correct solution than the ...
Knowledge Request-Broker Architecture: A Platform for
... “Why are there so many robots in fiction, but none in real life? I would pay a lot for a robot that could put away the dishes or run simple errands.”, says Steve Pinker in his book, “How the Mind Works” [16]. The reason why robots do not accompany human in real life, is that the real world environme ...
... “Why are there so many robots in fiction, but none in real life? I would pay a lot for a robot that could put away the dishes or run simple errands.”, says Steve Pinker in his book, “How the Mind Works” [16]. The reason why robots do not accompany human in real life, is that the real world environme ...
Cross-Paradigm Analysis of Autonomous Agent Architecture
... action selection necessarily lead to rigid, brittle systems incapable of reacting quickly and opportunistically to changes in the environment. On the other hand, hierarchical and sequential control are wellestablished programming techniques that demonstrably manage enormous complexity. This section ...
... action selection necessarily lead to rigid, brittle systems incapable of reacting quickly and opportunistically to changes in the environment. On the other hand, hierarchical and sequential control are wellestablished programming techniques that demonstrably manage enormous complexity. This section ...
Fortnightly Thoughts
... the Disclosure Appendix, or go to www.gs.com/research/hedge.html. Analysts employed by non-US affiliates are not registered/qualified as research analysts with FINRA in the U.S. The Goldman Sachs Group, Inc. ...
... the Disclosure Appendix, or go to www.gs.com/research/hedge.html. Analysts employed by non-US affiliates are not registered/qualified as research analysts with FINRA in the U.S. The Goldman Sachs Group, Inc. ...
Artificial Intelligence, Second Edition
... Here effectively computable means following well-defined operations; “computers” in Turing’s day were people who followed well-defined steps and computers as we know them today did not exist. This thesis says that all computation can be carried out on a Turing machine or one of the other equivalent ...
... Here effectively computable means following well-defined operations; “computers” in Turing’s day were people who followed well-defined steps and computers as we know them today did not exist. This thesis says that all computation can be carried out on a Turing machine or one of the other equivalent ...
A Foundational Architecture for Artificial General Intelligence
... Introduction Early AI researchers aimed at what was later called “strong AI,” the simulation of human level intelligence. One of AI’s founders, Herbert Simon, claimed (circa 1957) that “… there are now in the world machines that think, that learn and that create.” He went on to predict that with 10 ...
... Introduction Early AI researchers aimed at what was later called “strong AI,” the simulation of human level intelligence. One of AI’s founders, Herbert Simon, claimed (circa 1957) that “… there are now in the world machines that think, that learn and that create.” He went on to predict that with 10 ...
(Brief) History of AI Research
... computer science with a machine learning focus. It must be stressed that the interviews conducted are not intended as a representative sample of the field, of researchers in academia or in industry. Naturally there is an issue of self-selection bias at play. Furthermore, snowball sampling was used w ...
... computer science with a machine learning focus. It must be stressed that the interviews conducted are not intended as a representative sample of the field, of researchers in academia or in industry. Naturally there is an issue of self-selection bias at play. Furthermore, snowball sampling was used w ...
my personal data form - UBC Computer Science
... Mark Crowley, Brent Boerlage, David Poole, “Adding Local Constraints to Bayesian Networks”, Canadian AI Conference, May 2007. David Poole and Alan Mackworth, “Dimensions of Complexity of Intelligent Agents”, International Symposium on Practical Cognitive Agents and Robots, Perth, November 2006. Rita ...
... Mark Crowley, Brent Boerlage, David Poole, “Adding Local Constraints to Bayesian Networks”, Canadian AI Conference, May 2007. David Poole and Alan Mackworth, “Dimensions of Complexity of Intelligent Agents”, International Symposium on Practical Cognitive Agents and Robots, Perth, November 2006. Rita ...
SIGEVOlution - Volume 6 Issue 3-4
... problem domain for artificial intelligence research, because they can be parsimoniously described yet are often hard to solve [20]. As such, puzzles have been the focus of substantial research in AI during the past decades (e.g., Hearn [11], Robertson and Munro [22]). Nonetheless, quite a few NP-Com ...
... problem domain for artificial intelligence research, because they can be parsimoniously described yet are often hard to solve [20]. As such, puzzles have been the focus of substantial research in AI during the past decades (e.g., Hearn [11], Robertson and Munro [22]). Nonetheless, quite a few NP-Com ...
AGAINST NARROW OPTIMIZATION AND SHORT HORIZONS: AN
... and G. In that prior case, perhaps not-h was decided, such as the insufficiency with respect to a fiduciary standard, ethical standard, or due diligence. Perhaps the prior case weighed an argument based on F (pro-h) against an argument based on G (con-h). Absent a more specific precedent, in a new ...
... and G. In that prior case, perhaps not-h was decided, such as the insufficiency with respect to a fiduciary standard, ethical standard, or due diligence. Perhaps the prior case weighed an argument based on F (pro-h) against an argument based on G (con-h). Absent a more specific precedent, in a new ...
Artificial Intelligence and Environmental Decision Support Systems
... and may be represented by various interactions that operate on different spatio-temporal scales. Addressing these issues demands an integrated consideration of relevant interactions between humans and the environment [5]. Information technologies have played an increasing and central role in the pla ...
... and may be represented by various interactions that operate on different spatio-temporal scales. Addressing these issues demands an integrated consideration of relevant interactions between humans and the environment [5]. Information technologies have played an increasing and central role in the pla ...
Information, Ethics, and Computers: The Problem of Autonomous
... finite amount of time. If the observer fails to do so with a high enough percentage then the computer can imitate a human being and this, according to Turing, is a more interesting aspect than the question whether it can think. The Moral Turing Test chooses a similar approach. Since it is sufficient ...
... finite amount of time. If the observer fails to do so with a high enough percentage then the computer can imitate a human being and this, according to Turing, is a more interesting aspect than the question whether it can think. The Moral Turing Test chooses a similar approach. Since it is sufficient ...
The Innovative Applications of Artificial Intelligence Conference
... and seeks to bring it into existence. AI has ...
... and seeks to bring it into existence. AI has ...
NET201_Lecture 5_Part1 (1)
... 1. The first, which is read as “for all”, is called the universal quantifier: it states that something is true for every object that its variable represents. 2. The second, which is read as “there exists”, is called the existential quantifier: it states that something is true for one or more objects ...
... 1. The first, which is read as “for all”, is called the universal quantifier: it states that something is true for every object that its variable represents. 2. The second, which is read as “there exists”, is called the existential quantifier: it states that something is true for one or more objects ...
Lecture 1 Course Introduction Artificial Intelligence
... The right thing: that which is expected to maximize goal achievement, given the available information Doesn’t necessarily involve thinking—e.g., blinking reflex—but thinking should be in the service of rational action Aristotle (Nicomachean Ethics): Every art and every inquiry, and similarly every a ...
... The right thing: that which is expected to maximize goal achievement, given the available information Doesn’t necessarily involve thinking—e.g., blinking reflex—but thinking should be in the service of rational action Aristotle (Nicomachean Ethics): Every art and every inquiry, and similarly every a ...
Borregos RoboCup Standard Platform League 2010 Team
... models (based on the Fujitsu HOAP-2 robot) were used for the first time. In November 2007, we were the organizers of the 3D simulation league in the 3rd. RoboCup Latin American Open celebrated in Monterrey, México. In 2008, Borregos team participated in the RoboCup China international competitions ...
... models (based on the Fujitsu HOAP-2 robot) were used for the first time. In November 2007, we were the organizers of the 3D simulation league in the 3rd. RoboCup Latin American Open celebrated in Monterrey, México. In 2008, Borregos team participated in the RoboCup China international competitions ...
Ray and the Dartmouth Summer of 56
... of making a machine behave in ways that would be called intelligent if a human were so behaving.”[26, p. 53]1 Topics to study: automatic computers and programs for them; programming computers to use a language; neuron nets; machine self-improvement; classifying abstractions; and two areas particular ...
... of making a machine behave in ways that would be called intelligent if a human were so behaving.”[26, p. 53]1 Topics to study: automatic computers and programs for them; programming computers to use a language; neuron nets; machine self-improvement; classifying abstractions; and two areas particular ...
Philosophy of artificial intelligence
The philosophy of artificial intelligence attempts to answer such questions as: Can a machine act intelligently? Can it solve any problem that a person would solve by thinking? Are human intelligence and machine intelligence the same? Is the human brain essentially a computer? Can a machine have a mind, mental states and consciousness in the same sense humans do? Can it feel how things are?These three questions reflect the divergent interests of AI researchers, cognitive scientists and philosophers respectively. The scientific answers to these questions depend on the definition of ""intelligence"" and ""consciousness"" and exactly which ""machines"" are under discussion.Important propositions in the philosophy of AI include:Turing's ""polite convention"": If a machine behaves as intelligently as a human being, then it is as intelligent as a human being. The Dartmouth proposal: ""Every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it."" Newell and Simon's physical symbol system hypothesis: ""A physical symbol system has the necessary and sufficient means of general intelligent action."" Searle's strong AI hypothesis: ""The appropriately programmed computer with the right inputs and outputs would thereby have a mind in exactly the same sense human beings have minds."" Hobbes' mechanism: ""Reason is nothing but reckoning.""↑ ↑ ↑ ↑ ↑ ↑