Ethical Intelligence - The Unicist Research Institute
... The ethics of foundation is used by individuals that consider that added value is secured by knowledge. The goal of such ethics is that the foundations or groundings for work be reasonable, comprehensible and proven. The individual behaving on the basis of such ethics bears influence on the ones who ...
... The ethics of foundation is used by individuals that consider that added value is secured by knowledge. The goal of such ethics is that the foundations or groundings for work be reasonable, comprehensible and proven. The individual behaving on the basis of such ethics bears influence on the ones who ...
Personified Systems - Eldacur Technologies
... focus to something new. This caused me to try to figure out what the next big issue was likely to be, so that I could work on that. I concluded that it is creating well-behaved or trustworthy systems, especially “personified systems.” Having said that, I should introduce a term or two, and explain w ...
... focus to something new. This caused me to try to figure out what the next big issue was likely to be, so that I could work on that. I concluded that it is creating well-behaved or trustworthy systems, especially “personified systems.” Having said that, I should introduce a term or two, and explain w ...
slides
... [10] M. Ishikawa. A Structural Connectionist Learning Algorithm with Forgetting, J. of Japanese Society for Artificial Intelligence 5(5) (1990). ...
... [10] M. Ishikawa. A Structural Connectionist Learning Algorithm with Forgetting, J. of Japanese Society for Artificial Intelligence 5(5) (1990). ...
hierarchical knowledge-based process planning in
... provide a formal language for describing the initial and goal states as well as the possible actions that may change the states. They have a plain and single measure of plan performance (plan length) and give no means for expressing control knowledge in an explicit way. They are weak in geometric r ...
... provide a formal language for describing the initial and goal states as well as the possible actions that may change the states. They have a plain and single measure of plan performance (plan length) and give no means for expressing control knowledge in an explicit way. They are weak in geometric r ...
Artificial Intelligence
... based on information provided in the critical reflection and the selected theses, additional documentation and interviews conducted during the site visit. The panel noted both positive aspects and some which could be improved. Taking those aspects into consideration, the panel decided that the progr ...
... based on information provided in the critical reflection and the selected theses, additional documentation and interviews conducted during the site visit. The panel noted both positive aspects and some which could be improved. Taking those aspects into consideration, the panel decided that the progr ...
Prediction of lower extremities` movement by angle–angle diagrams
... mainly due their prospective application in the myoelectrical prostheses’ control systems. In our study of gait, we apply new methods that are based on the analysis of gait angles by cyclograms (also called angle–angle diagrams or cyclokinograms) and artificial intelligence and allow us to predict t ...
... mainly due their prospective application in the myoelectrical prostheses’ control systems. In our study of gait, we apply new methods that are based on the analysis of gait angles by cyclograms (also called angle–angle diagrams or cyclokinograms) and artificial intelligence and allow us to predict t ...
Self-Motivating Computational System Cognitive Architecture
... The road to building artificial general intelligence (AGI) [9] is not just very complex but the most complex task computer scientists have tried to solve. While over the last 30+ years a great amount of work has been done, much of that work has been narrow from an application standpoint or has been ...
... The road to building artificial general intelligence (AGI) [9] is not just very complex but the most complex task computer scientists have tried to solve. While over the last 30+ years a great amount of work has been done, much of that work has been narrow from an application standpoint or has been ...
Business - Take-A
... Corp. for 14 years... • Manager, Artificial Intelligence Engineering team • Product Manager for PC-based process modeling and simulation tool • Consulted on projects w/White House and Pentagon ...
... Corp. for 14 years... • Manager, Artificial Intelligence Engineering team • Product Manager for PC-based process modeling and simulation tool • Consulted on projects w/White House and Pentagon ...
ARTIFICIAL INTELLIGENCE PLANNING FOR GENERATIVE
... language, rather than being hardcoded inside the software that performs the process planning. In the proposed CAPP planning model, the effects of the operators (the machining processes) are related with the goals to be achieved. Thus, the effect of each operator is a conjunction of machinedFace pred ...
... language, rather than being hardcoded inside the software that performs the process planning. In the proposed CAPP planning model, the effects of the operators (the machining processes) are related with the goals to be achieved. Thus, the effect of each operator is a conjunction of machinedFace pred ...
short
... Microsoft Research, Redmond, WA, U.S.A. Supervisor: Dr. John Manferdelli, Anti-Piracy Group Worked on Digital Rights Management; designed methods that use control- and data-flow analysis on binary program code to embed hard-to-break license authentication protocols in arbitrary programs. Intern, Vis ...
... Microsoft Research, Redmond, WA, U.S.A. Supervisor: Dr. John Manferdelli, Anti-Piracy Group Worked on Digital Rights Management; designed methods that use control- and data-flow analysis on binary program code to embed hard-to-break license authentication protocols in arbitrary programs. Intern, Vis ...
AI assisted ethics - Institute for Communitarian Policy Studies
... health, smart robots, smart science, smart crowds and smart computer–human interactions’’ (Markoff 2013). According to Francesca Rossi, a computer scientist at the University of Padova, ‘‘Until now, the emphasis has been on making machines faster and more precise—better able to reach a specific goal ...
... health, smart robots, smart science, smart crowds and smart computer–human interactions’’ (Markoff 2013). According to Francesca Rossi, a computer scientist at the University of Padova, ‘‘Until now, the emphasis has been on making machines faster and more precise—better able to reach a specific goal ...
Advances in Artificial Intelligence Using Speech Recognition
... It has been established by [4] that speech recognition can also be referred as ASR, as the technique offers to recognize the speech automatically. In accordance with the views and perceptions of [13], some of the speech recognition systems utilize speaker independent speech recognition. On the other ...
... It has been established by [4] that speech recognition can also be referred as ASR, as the technique offers to recognize the speech automatically. In accordance with the views and perceptions of [13], some of the speech recognition systems utilize speaker independent speech recognition. On the other ...
Elephant 2000: A Programming Language Based on Speech Acts
... One of the stimuli to writing this article was a talk entitled “Programming languages of the year 2000” that I considered insufficiently ambitious. It has long been said that programming languages need more of the features of natural language, but it has not been clear what the desirable features ar ...
... One of the stimuli to writing this article was a talk entitled “Programming languages of the year 2000” that I considered insufficiently ambitious. It has long been said that programming languages need more of the features of natural language, but it has not been clear what the desirable features ar ...
Recent advances in computational models of natural argument
... Traditional symbolic AI models of reasoning are typically founded on firstorder predicate calculus or some subset thereof. Such first-order reasoning systems, however, are obliged to make a number of assumptions: that a given problem is fully specified ~such that the solution to a problem lies withi ...
... Traditional symbolic AI models of reasoning are typically founded on firstorder predicate calculus or some subset thereof. Such first-order reasoning systems, however, are obliged to make a number of assumptions: that a given problem is fully specified ~such that the solution to a problem lies withi ...
The Dynamical Hypothesis in Cognitive Science: A review essay of
... world (e.g., People hate mosquitoes.); ...
... world (e.g., People hate mosquitoes.); ...
Application of Artificial Intelligence in Finance
... memory, and the case-based decision support system analyzes them to retrieve similar cases from memory for decision making. This is the principle underlying case-based reasoning technologies [4]. Case-based decision support can also analyze cases to extract patterns and discover knowledge hidden in ...
... memory, and the case-based decision support system analyzes them to retrieve similar cases from memory for decision making. This is the principle underlying case-based reasoning technologies [4]. Case-based decision support can also analyze cases to extract patterns and discover knowledge hidden in ...
OPERATING IN THE ROBOTIC MATRIX TRACY MCINTYRE and
... two or more objects come into contact with each other and usually one or both objects change in some way. For example when a chemist demonstrates what happens when chlorine gas and metallic sodium to come into contact to make NaCl, also known as salt. The original materials are still present but the ...
... two or more objects come into contact with each other and usually one or both objects change in some way. For example when a chemist demonstrates what happens when chlorine gas and metallic sodium to come into contact to make NaCl, also known as salt. The original materials are still present but the ...
Building a Constraint Solver that Learns. In Proceedings of the AAAI
... architecture for the rapid development of expertise (Epstein, 1992). To produce an adaptive, robust problem solver, FORR exploits many techniques observable in human learners. FORR itself is domain independent; a FORR-based application requires a set of domain-specific state representations and heur ...
... architecture for the rapid development of expertise (Epstein, 1992). To produce an adaptive, robust problem solver, FORR exploits many techniques observable in human learners. FORR itself is domain independent; a FORR-based application requires a set of domain-specific state representations and heur ...
ai-ready or not: artificial intelligence here we
... In its most basic definition, “artificial intelligence” (AI) is intelligence that is exhibited by machines. It is frequently thought of as robotics but it actually encompasses a broader range of technologies, including many that are in wide use today. From speech recognition and search engines, to o ...
... In its most basic definition, “artificial intelligence” (AI) is intelligence that is exhibited by machines. It is frequently thought of as robotics but it actually encompasses a broader range of technologies, including many that are in wide use today. From speech recognition and search engines, to o ...
The Behavior-Oriented Design of Modular Agent Intelligence
... is also strongly associated with reactive intelligence, because the subsumption architecture was both behavior-based and reactive. Reactive intelligence operates with no deliberation or search, thus eliciting the good response times critical for the successful operation of real-time systems such as ...
... is also strongly associated with reactive intelligence, because the subsumption architecture was both behavior-based and reactive. Reactive intelligence operates with no deliberation or search, thus eliciting the good response times critical for the successful operation of real-time systems such as ...
2015_0001_Vision for Curie and soccer
... In fact, if you compare this goal to other ground breaking achievements it is not ambitious at all. The Wright brothers' first airplane was launched and 50 years later man landed on the moon. Even more recently Deep Blue the computer programmed to play chess, played chess grand master Garry Kasparov ...
... In fact, if you compare this goal to other ground breaking achievements it is not ambitious at all. The Wright brothers' first airplane was launched and 50 years later man landed on the moon. Even more recently Deep Blue the computer programmed to play chess, played chess grand master Garry Kasparov ...
Intelligent Computer-Aided Engineering
... later stages numerical simulation can be used, but any serious problems uncovered then are often fixed only at greatly increased expense, both in terms of designer time and computer time . Aside from the ability to catch blunders early, knowing early in the design process what undesirable behaviors ...
... later stages numerical simulation can be used, but any serious problems uncovered then are often fixed only at greatly increased expense, both in terms of designer time and computer time . Aside from the ability to catch blunders early, knowing early in the design process what undesirable behaviors ...
Q - Computer History Museum
... years during the period from 1948 to 1963 with a couple of gaps, said to me, “I feel very sorry for your money, David.” On the other hand, the Dutch mathematician Max Euwe who held the world championship title for two years from 1935 to 1937, as soon as he heard about my bet he wanted to take a shar ...
... years during the period from 1948 to 1963 with a couple of gaps, said to me, “I feel very sorry for your money, David.” On the other hand, the Dutch mathematician Max Euwe who held the world championship title for two years from 1935 to 1937, as soon as he heard about my bet he wanted to take a shar ...
Darwin`s Avatars: a Novel Combination of Gameplay and Procedural
... the mismatch in speed (see Section 5.2), most appear to enjoy the human-versus-human version of the game. As would be expected, such a one-on-one competition tends to reduce frustration, providing real hope for success as long as both players are at a similar level. For example, in the sequence of c ...
... the mismatch in speed (see Section 5.2), most appear to enjoy the human-versus-human version of the game. As would be expected, such a one-on-one competition tends to reduce frustration, providing real hope for success as long as both players are at a similar level. For example, in the sequence of c ...
Nota Bene-- C:\BRNBK\DRAFTS\MEETBRN.TXT Job 1
... and subtract to come to a net electrical stimulus that enters the cell body. If this is large enough, it triggers the cell body to generate an action potential, a millisecond change of voltage toward positive. The action potential then flows out along the long tube of the axon. When it reaches the l ...
... and subtract to come to a net electrical stimulus that enters the cell body. If this is large enough, it triggers the cell body to generate an action potential, a millisecond change of voltage toward positive. The action potential then flows out along the long tube of the axon. When it reaches the l ...
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.""↑ ↑ ↑ ↑ ↑ ↑