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User Manual - D-Link
User Manual - D-Link

... No. 289, Sinhu 3rd Rd, Neihu District, Taipei City 114, Taiwan R.O.C. http://www.DLink.com Published 2010-11-11 Copyright © 2010 ...
Deloitte`s point of view on IBM Watson
Deloitte`s point of view on IBM Watson

... Cognitive computing is starting to emerge as a real opportunity and threat for many businesses. It is a component of the broader trend around big data, but it is particularly important because cognitive computing focuses on the realm of unstructured data, which is clearly dominant in volume over tha ...
Install and System Administration for FortiOS 5.0
Install and System Administration for FortiOS 5.0

... Fortinet names herein may also be registered and/or common law trademarks of Fortinet. All other product or company names may be trademarks of their respective owners. Performance and other metrics contained herein were attained in internal lab tests under ideal conditions, and actual performance an ...
Multiagent Systems: A Survey from a Machine Learning Perspective
Multiagent Systems: A Survey from a Machine Learning Perspective

... Another example of a domain that requires MAS is hospital scheduling as presented in [Decker, 1996c]. This domain from an actual case study requires different agents to represent the interests of different people within the hospital. Hospital employees have different interests, from nurses who may ...
CS 561a: Introduction to Artificial Intelligence
CS 561a: Introduction to Artificial Intelligence

Efficiently Gathering Information in Costly Domains
Efficiently Gathering Information in Costly Domains

... and Krause [2009] and Krause and Guestrin [2005, 2007] suggest several models for selecting which variables to sample in a Bayesian network to minimize uncertainty in the network. Bilgic and Getoor [2007] use graphical models to minimize the cost of the acquisition of information for the purpose of ...
Artificial Intelligence – Agents and Environments
Artificial Intelligence – Agents and Environments

... computer systems for Artificial Intelligence. Historically, the most notable AI programming languages have been Lisp and Prolog. Lisp (and related dialects such as Common Lisp and Scheme) has excellent list and symbol processing capabilities, with the ability to interchange code and data easily, and ...
Early Artificial Life
Early Artificial Life

... But there is a 2nd aspect to n-sAI (maybe the Engineering part). This comes from recognising that symbolic AI approaches to eg pattern recognition are useless in comparison to the ability of a migrating bird (that does not use symbols or logic) … that the most complex bit of machinery humans have de ...
Improbable Creativity
Improbable Creativity

... (c) Regarding her third criterion for creativity, value, Boden is certain that there are more ways in which this might occur than anybody could ever list. Csikszentmihalyi (1999a,b) applies a definition very much like Boden’s, in which novelty and value are essential to creativity. For him, the nove ...
A survey of computer systems for expressive music
A survey of computer systems for expressive music

Dr.Halil ADAHAN NEAR EAST UNIVERSITY Faculty of
Dr.Halil ADAHAN NEAR EAST UNIVERSITY Faculty of

... remote location. These tools expand your flexibility because you can work as though you are physically present at each computer in your organization. The tools include the Remote Desktops nap-in, Active Directory Users and Computers, Web Interface for Remote Administration, and the Windows Server Ad ...
Soar : an architecture for general intelligence
Soar : an architecture for general intelligence

... with a set of operators that apply to a current state to yield a new state) [49]. Hence, all tasks take the form of heuristic search. Routine procedures arise, in this scheme, when enough knowledge is available to provide complete search control, i.e., to determine the correct operator to be taken a ...
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Chap1&2

Artificial Intelligence, Figurative Language and Cognitive Linguistics
Artificial Intelligence, Figurative Language and Cognitive Linguistics

... 2. Metaphor and metonymy in AI, and connections to CL Metaphor has long been an interest within AI. Salient amongst the earliest work is that of Carbonell (1980, 1982), Russell (1976), Weiner (1984), Wilks (1978) and Winston (1979). Other more recent work includes Asher and Lascarides (1995), Fass ( ...
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Kerio WinRoute Firewall 6

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Swoop - Semantic Scholar

... Web browsers are the ubiquitous way that people use URIs, and, even in authoring tools, the primary mental model people have of URIs is derived from their use in browsers. We take inspiration from this web-browser UI in building Swoop, an ontology browser and editor, designed specifically for use wi ...
Bayesian AI Introduction - Australasian Bayesian Network Modelling
Bayesian AI Introduction - Australasian Bayesian Network Modelling

... Bayesian networks are the basis for a new generation of probabilistic expert systems, which allow for exact (and approximate) modelling of physical, biological and social systems operating under uncertainty. Bayesian networks are also an important representational tool for data mining, in causal dis ...
Kerio WinRoute Firewall 6
Kerio WinRoute Firewall 6

AI Methods in Algorithmic Composition
AI Methods in Algorithmic Composition

... communities naturally interested in this field (AI and the arts) speak different languages (sometimes very different!) and have different methods and goals1 , creating great difficulties in the collaboration and exchange of ideas between them. In spite of this, small and sometimes fragmented communi ...
Risks and Mitigation Strategies for Oracle AI
Risks and Mitigation Strategies for Oracle AI

... can be copied as much as required. Similarly, if AIs are subject to human-like vicissitudes, such as fatigue or drop in motivation, this can be overcome by taking the entity at the peak of its energy or motivation, and reloading this every time the AI starts to weaken. One could use this, for instan ...
A General Model for Component-based Software
A General Model for Component-based Software

... Component technologies have become the buzzword in today’s software engineering communities. Component technologies empower software engineers to produce a higher quality, more reliable, and more maintainable software solutions in a shorter time and within a limited budget. This thesis presents a ge ...
The Hidden Pattern
The Hidden Pattern

... Engineering General Intelligence (coauthored with Cassio Pennachin) and Probabilistic Logic Networks (coauthored with Matt Ikle’, Izabela Freire Goertzel and Ari Heljakka). My schedule these last few years has been incredibly busy, far busier than I’m comfortable with – I much prefer to have more “o ...
Monster Analogies - Semantic Scholar
Monster Analogies - Semantic Scholar

Monster Analogies - Semantic Scholar
Monster Analogies - Semantic Scholar

... Like most AI systems, many systems for analogy are in a continual process of refinement. Every researcher would acknowledge the gaps between what the systems can do and what humans do. All researchers would acknowledge that their system does not reflect, in all its particulars, the grand theoretical ...
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Ecological interface design

Ecological interface design (EID) is an approach to interface design that was introduced specifically for complex sociotechnical, real-time, and dynamic systems. It has been applied in a variety of domains including process control (e.g. nuclear power plants, petrochemical plants), aviation, and medicine.EID differs from some interface design methodologies like User-Centered Design (UCD) in that the focus of the analysis is on the work domain or environment, rather than on the end user or a specific task. The goal of EID is to make constraints and complex relationships in the work environment perceptually evident (e.g. visible, audible) to the user. This allows more of users' cognitive resources to be devoted to higher cognitive processes such as problem solving and decision making. EID is based on two key concepts from cognitive engineering research: the Abstraction Hierarchy (AH) and the Skills, Rules, Knowledge (SRK) framework.By reducing mental workload and supporting knowledge-based reasoning, EID aims to improve user performance and overall system reliability for both anticipated and unanticipated events in a complex system.
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