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Expert Systems
Expert Systems

... What is intelligence ? There is no unique definition of intelligence. Webster's dictionary defines intelligence as, " the ability to understand new or trying situations ". The more commonly accepted definition is " the ability to perceive, understand and learn about new situations ". The human brai ...
daniel lowd - CIS Users web server
daniel lowd - CIS Users web server

... Summer 2004: Intern at Microsoft Research with Christopher Meek in Redmond, WA. Developed simple yet effective attacks against linear spam filters, testing filter robustness and promoting the development of more secure spam filters. June 2002 – September 2003: Research assistant for Jon Herlocker at ...
Human-Robot-Communication and Machine Learning
Human-Robot-Communication and Machine Learning

... to robot and robot to user communication. This is learning for communication. It aims at improving the communication between the two agents, i.e., to learn communication skills. Consequently, the need for enhancing Human-Robot Communication is closely related to the idea of allowing humans to make ...
Strategic Management - McGraw Hill Higher Education
Strategic Management - McGraw Hill Higher Education

... have a good understanding of: • The leader’s role in establishing an ethical organization. • The benefits of developing an ethical organization. • The high financial and nonfinancial costs associated with ethical crises. ...
AAAI Spring Symposium, Stanford, March 27
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... communication   with   autonomous   systems   such   as   robots,   an   action-­‐oriented   embodied   semantics   seems   especially   promising.   Some   moderate   scale   NLU   systems   of   this   kind   have  been  demonstrated.  One  quest ...
Christopher Thomas UMIACS Center - Kno.e.sis
Christopher Thomas UMIACS Center - Kno.e.sis

... • Different partitioning algorithms that split the Temporal Multi-Activity graphs that are underlying the temporal stochastic automata. – based on temporal distribution of states – based on estimated workload • A distributed activity index to store observation sequences. Insertion into the distribut ...
Computational Creativity
Computational Creativity

... collaborator rather than a mere tool. Historically, it’s been difficult for society to come to terms with machines that purport to be intelligent and even more difficult to admit that they might be creative. Even within computer science, people are still sceptical about the creative potential of sof ...
16 Ethics - Mark
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Could a machine think? - Alan M. Turing vs. John R. Searle

... Based on the work of Alan M. Turing (inter alia the paper Computing Machinery and Intelligence) Allen Newell and Herbert Simon formulated the physical symbol system hypothesis (PSSH): “A physical symbol system3 has the necessary and sufficient means for general intelligent action.”4 This claim impli ...
Specialized Systems, Ai, Expert, Virtual Reality
Specialized Systems, Ai, Expert, Virtual Reality

... computer to change how it functions or reacts to situations based on feedback it receives • Learning systems software requires feedback on the results of actions or decisions • Feedback is used to alter what the system will do in the future ...
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Review of Artificial Intelligence, Simulation, and Modeling
Review of Artificial Intelligence, Simulation, and Modeling

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Review of Genetic Algorithms in Search, Optimization, and Machine
Review of Genetic Algorithms in Search, Optimization, and Machine

... Garfinkel at the University of Pennsylvania and his colleagues on the integration of AI and simulation in the study of enzyme kinetics (Garfinkel et al. 1987; Soo et al. 1988) is an example of work that should receive more attention in future texts. The AI perspective is also shown in the references ...
Road Map - Computer Science Department
Road Map - Computer Science Department

... Use of agreed protocols and languages Standard, agent-specific design methodologies Open agent systems in specific domains (such as in bioinformatics and e-commerce)  More general scalability, arbitrary numbers and diversity of agents in each such domain  Bridging agents translating between domain ...
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... processes creates the need for an abstracted internal representation of the environment (partial or complete) to pass information from the perceptual component to the planning system; this intermediate ‘buffer’ can potentially become a disconnect between the real state of the environment and the age ...
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... a leadership position. Even in the case of Aristotle and his predecessors ― Socrates and Plato ―- the more elastic manner used to address how best to live advocates the wisdom of life philosophy as opposed to the how-to-render-a-decision approach at both the individual and nation-state levels (Willi ...
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Realizing an Optimization Approach Inspired from Piaget`s Theory

... algorithms, which are focused on some theories, mathematical systems…etc. from different fields. Artificial Intelligence is the science and research field of the future. Furthermore, it can be expressed that swarm intelligence has an important potential on shaping the solution ways of the future; as ...
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Planning - UTSA CS

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Mindware as Soft~are - Computation and Cognition Lab

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Expert Systems and Artificial Intelligence
Expert Systems and Artificial Intelligence

... Building an Expert System An early step is to identify the type of tasks (interpretation, prediction, monitoring, etc.) the system will perform Another important step is choosing the experts who will contribute knowledge: It is common for one or more of these experts to be part of the development t ...
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"Abstractions and Hierarchies for Learning and Planning

... 14. Richard S. Sutton. TD models: Modeling the world at a mixture of time scales. In Proceedings of the Twelfth International Conference on Machine Learning (ICML-95), pages 531–539, 1995. 15. David Andre and Stuart J. Russell. Programmable reinforcement learning agents. In Advances in Neural Inform ...
Contemporary Cybernetics and Its Facets of Cognitive Informatics
Contemporary Cybernetics and Its Facets of Cognitive Informatics

... systems [11] were developed in the 1970s and 1980s, respectively. Then, intelligent systems [33] and software agents [14], [17] emerged in the 1990s. These events and developments lead to the development of contemporary cybernetics. It was conventionally deemed that only human beings and other advan ...
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Ethics of artificial intelligence

The ethics of artificial intelligence is the part of the ethics of technology specific to robots and other artificially intelligent beings. It is typically divided into roboethics, a concern with the moral behavior of humans as they design, construct, use and treat artificially intelligent beings, and machine ethics, concern with the moral behavior of artificial moral agents (AMAs).
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