Detecting Commitment Abandonment by
... agents can interact and act, i.e., Σ is set of environment properties and A is a set of available actions. Now, consider a commitment C(DEBTOR, CREDITOR, At, Ct): in order for a DEBTOR to achieve the consequent Ct from the antecedent At we define that: the antecedent At must be in the initial state ...
... agents can interact and act, i.e., Σ is set of environment properties and A is a set of available actions. Now, consider a commitment C(DEBTOR, CREDITOR, At, Ct): in order for a DEBTOR to achieve the consequent Ct from the antecedent At we define that: the antecedent At must be in the initial state ...
Vita - CIS Users web server
... June 2010 – Present: Assistant Professor, Department of Computer and Information Science, University of Oregon. September 2009 – June 2010: Acting Assistant Professor, Department of Computer and Information Science, University of Oregon. September 2003 – August 2009: Research assistant for Pedro Dom ...
... June 2010 – Present: Assistant Professor, Department of Computer and Information Science, University of Oregon. September 2009 – June 2010: Acting Assistant Professor, Department of Computer and Information Science, University of Oregon. September 2003 – August 2009: Research assistant for Pedro Dom ...
`Music`s Smart Future`
... When artificial intelligence technology attracts media coverage, there is often an implied – or, indeed, an explicit – threat to humans, from speculation about how AI will cannibalise human jobs through to the kind of existential challenges that were once solely the domain of science-fiction writers ...
... When artificial intelligence technology attracts media coverage, there is often an implied – or, indeed, an explicit – threat to humans, from speculation about how AI will cannibalise human jobs through to the kind of existential challenges that were once solely the domain of science-fiction writers ...
Agents
... is expected to maximize its performance measure, given the evidence provided by the percept sequence and whatever builtin knowledge the agent has. • Notice the rationality is dependent on EXPECTED maximization. • Agent might need to learn how the environment changes, what action sequences to put tog ...
... is expected to maximize its performance measure, given the evidence provided by the percept sequence and whatever builtin knowledge the agent has. • Notice the rationality is dependent on EXPECTED maximization. • Agent might need to learn how the environment changes, what action sequences to put tog ...
Artificial Intelligence
... Any curious scientifically oriented reader will benefit from studying the book. Previous experience with computational systems is desirable, but prior study of the foundations on which we build, including logic, probability, calculus, and control theory, is not necessary, because we develop the concep ...
... Any curious scientifically oriented reader will benefit from studying the book. Previous experience with computational systems is desirable, but prior study of the foundations on which we build, including logic, probability, calculus, and control theory, is not necessary, because we develop the concep ...
Multi-Agent Systems - AI-MAS
... NASA uses autonomous agents to handle tasks that appear simple but are actually quite complex. For example, one mission goal handled by autonomous agents is simply to not waste fuel. But accomplishing that means balancing multiple demands, such as staying on course and keeping experiments running, a ...
... NASA uses autonomous agents to handle tasks that appear simple but are actually quite complex. For example, one mission goal handled by autonomous agents is simply to not waste fuel. But accomplishing that means balancing multiple demands, such as staying on course and keeping experiments running, a ...
View/Open
... The Intelligent Agent Monitoring Inference Engine (IAMIE) is a one-tool solution to detect and respond to insider threats while making use of already in-place operating system (OS) components, in this research it is Windows. The software agent produces cognitive units of programming object classes ( ...
... The Intelligent Agent Monitoring Inference Engine (IAMIE) is a one-tool solution to detect and respond to insider threats while making use of already in-place operating system (OS) components, in this research it is Windows. The software agent produces cognitive units of programming object classes ( ...
Computer Science as Empirical Inquiry : Symbols and Search Allen
... objects, processes, or other patterns, and that, when they designate processes, they can be interpreted. – Interpretation means carrying out the designated process. – Symbolic system : Formal logic, The Turing machine, The storedprogram concept, List processing ...
... objects, processes, or other patterns, and that, when they designate processes, they can be interpreted. – Interpretation means carrying out the designated process. – Symbolic system : Formal logic, The Turing machine, The storedprogram concept, List processing ...
1 Artificial Social Intelligence by William Sims Bainbridge
... that employ any of the techniques commonly called "artificial intelligence" by computer scientists. To explore the scope and potential of ASI, the Sociology Program of the National Science Foundation convened a workshop at the National Center for Supercomputing Applications at the University of Illi ...
... that employ any of the techniques commonly called "artificial intelligence" by computer scientists. To explore the scope and potential of ASI, the Sociology Program of the National Science Foundation convened a workshop at the National Center for Supercomputing Applications at the University of Illi ...
Artificial Intelligence - Glacier Peak High School
... Hauser, Larry. "Chinese Room Argument." Internet Encyclopedia of Philosophy. Alma College, 2005. ...
... Hauser, Larry. "Chinese Room Argument." Internet Encyclopedia of Philosophy. Alma College, 2005. ...
AI and Cinema - Does artificial insanity rule?
... The Terminator is the cause of the main conflict but does not appear in the movie). So, we might see some more movies pursuing these aberrations. Why then is insanity or extreme behavior so common? People have always had anxieties arising from the uncertain future that a new technology might create. ...
... The Terminator is the cause of the main conflict but does not appear in the movie). So, we might see some more movies pursuing these aberrations. Why then is insanity or extreme behavior so common? People have always had anxieties arising from the uncertain future that a new technology might create. ...
G52HPA: History and Philosophy of Artificial Intelligence Lecture 1
... • “The study of mental faculties through the use of computational models” — (Charniak and McDermott, 1985) • “The exciting new effort to make computers think … machines with minds, in the full and literal sense” — (Haugeland, 1985) ...
... • “The study of mental faculties through the use of computational models” — (Charniak and McDermott, 1985) • “The exciting new effort to make computers think … machines with minds, in the full and literal sense” — (Haugeland, 1985) ...
Ten Years of Autonomous Agents and Multiagent Systems
... on the diversity of the field, presented through the voices of leading researchers. We hope that readers unfamiliar with the field will be enticed to explore further, and readers closer to the agent research communities will appreciate these articles as providing one of many possible snapshots of a ...
... on the diversity of the field, presented through the voices of leading researchers. We hope that readers unfamiliar with the field will be enticed to explore further, and readers closer to the agent research communities will appreciate these articles as providing one of many possible snapshots of a ...
42 PERCENT
... INTEGRADETECT TEXT ANALYTICS experience expertise // An organization’s data may comprise as much as 80 percent unstructured textual data—email, documents, social media and Internet content, among others. Unlike structured, numeric financial data, unstructured textual data involves human communicatio ...
... INTEGRADETECT TEXT ANALYTICS experience expertise // An organization’s data may comprise as much as 80 percent unstructured textual data—email, documents, social media and Internet content, among others. Unlike structured, numeric financial data, unstructured textual data involves human communicatio ...
Integrating Logical Reasoning into Everyday Applications AAAI Press
... Copyright © 2006, AAAI Press The American Association for Artificial Intelligence 445 Burgess Drive Menlo Park, California 94025 USA AAAI maintains compilation copyright for this technical report and retains the right of first refusal to any publication (including electronic distribution) arising f ...
... Copyright © 2006, AAAI Press The American Association for Artificial Intelligence 445 Burgess Drive Menlo Park, California 94025 USA AAAI maintains compilation copyright for this technical report and retains the right of first refusal to any publication (including electronic distribution) arising f ...
Curriculum Vitae, September 2008
... Cambridge, June 1986. M.Phil. in Computer Speech and Language Processing, Department of Engineering, University of Cambridge, October 1987. Ph.D. in Computer Science, Computer Laboratory, University of Cambridge, July 1992. Appointments Held April 1990 – February 1997: Research Associate (AR1A), Dep ...
... Cambridge, June 1986. M.Phil. in Computer Speech and Language Processing, Department of Engineering, University of Cambridge, October 1987. Ph.D. in Computer Science, Computer Laboratory, University of Cambridge, July 1992. Appointments Held April 1990 – February 1997: Research Associate (AR1A), Dep ...
Knowledge Engineering
... What questions do we want the knowledge base to answer? What kinds of facts will be available for a specific problem instance. – Example: What is the output of a digital circuit? What inputs results in a given output? Based on some of the inputs and outputs, we might know what the other inputs and o ...
... What questions do we want the knowledge base to answer? What kinds of facts will be available for a specific problem instance. – Example: What is the output of a digital circuit? What inputs results in a given output? Based on some of the inputs and outputs, we might know what the other inputs and o ...
A CYBERNETIC VIEW OF ARTIFICIAL INTELLIGENCE José Mira
... semantics needed for its complete and unequivocal description: (1) Formal domains, (2) technical domains, and (3) basic genuine functions of human behavior. In all these cases KE try to emulate logical aspects of human reasoning, having always in mind that, at the end, the user of these emulation pr ...
... semantics needed for its complete and unequivocal description: (1) Formal domains, (2) technical domains, and (3) basic genuine functions of human behavior. In all these cases KE try to emulate logical aspects of human reasoning, having always in mind that, at the end, the user of these emulation pr ...
- CRISP Repository
... the researchers think he has perfect command of Chinese because all the answers make sense to them. Moreover, they think they can diagnose what is the matter with him, thinking he is thirsty whereas in fact he has to urinate. Then the robot engineers Mark Tilden and David Hanson walk in, asking the ...
... the researchers think he has perfect command of Chinese because all the answers make sense to them. Moreover, they think they can diagnose what is the matter with him, thinking he is thirsty whereas in fact he has to urinate. Then the robot engineers Mark Tilden and David Hanson walk in, asking the ...
... research on nonmonotonic reasoning—are they primarily computational (the development of more efficient algorithms) or conceptual (the formalization of human reasoning)? How do we evaluate its progress— should we measure it in terms of its own problems and milestones, or is it essential that our work ...
The Cost of AI - Matt Mahoney`s Home Page
... Humans, like all animals, have brains programmed by evolution to fear the things that can kill them, residing in bodies programmed to grow old and die. Therefore, uploading must be done in a way that does not arouse this fear. You see your friends go in for a procedure and come out younger, stron ...
... Humans, like all animals, have brains programmed by evolution to fear the things that can kill them, residing in bodies programmed to grow old and die. Therefore, uploading must be done in a way that does not arouse this fear. You see your friends go in for a procedure and come out younger, stron ...
Contextual Awareness and Intelligence Drive
... PwC's Mobile Innovations Forecast (MIF) Phase II article four, The Elements of Contextual Intelligence, demonstrates how contextual awareness and intelligence arises from three core domains of technology. The three capabilities enabling mobile devices to generate contextually relevant information an ...
... PwC's Mobile Innovations Forecast (MIF) Phase II article four, The Elements of Contextual Intelligence, demonstrates how contextual awareness and intelligence arises from three core domains of technology. The three capabilities enabling mobile devices to generate contextually relevant information an ...
ITEC 1010 Information and Organizations - ExSys
... plants, but they are capable only of very limited tasks. Robots have great difficulty identifying objects based on appearance or feel, and they still move and handle objects clumsily. Natural-language processing offers the greatest potential rewards because it would allow people to interact with com ...
... plants, but they are capable only of very limited tasks. Robots have great difficulty identifying objects based on appearance or feel, and they still move and handle objects clumsily. Natural-language processing offers the greatest potential rewards because it would allow people to interact with com ...
jan10
... Planning agents • Explicitly represent their own goals and/or preferences (“utilities”) and can reason about them (i.e., planning) • Exhibit a kind of autonomy – actions do not follow directly from a table lookup • Learning agents • Learning from positive and negative examples – “supervised learning ...
... Planning agents • Explicitly represent their own goals and/or preferences (“utilities”) and can reason about them (i.e., planning) • Exhibit a kind of autonomy – actions do not follow directly from a table lookup • Learning agents • Learning from positive and negative examples – “supervised learning ...