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From NARS to a Thinking Machine
From NARS to a Thinking Machine

... It can be proved that a statement is true if and only if the extension of its subject is a subset of the extension of its predicate, and, equivalently, if the intension of its predicate is a subset of the intension of its subject. Based on this result, statements can be made multi-valued to represen ...
Brachet - UB Computer Science and Engineering
Brachet - UB Computer Science and Engineering

... 2. As the hart went by the sideboard, the white brachet bit him. [66] 3. The knight arose, took up the brachet and rode away with the brachet. [66] 4. A lady came in and cried aloud to King Arthur, “Sire, the brachet is mine”. [66] 10. There was the white brachet which bayed at him fast. [72] 18. Th ...
April 2005 - Interactive Intelligence Group
April 2005 - Interactive Intelligence Group

... Thirdly, in the previous issue of this newsletter we announced the publication of special issues. We have made the following provisional schedule: August 2005: special issue on agent technology and multi-agent systems; October 2005: special issue on computer games and game-playing techniques; Decemb ...
s-cheran-g-gargano
s-cheran-g-gargano

... Interface Agents: It act like a filter or interface between the user and a source of information Information Agents: It can retrieve information for the user from different sources (Internet Search Engine) Believable Agents: It simulates emotions such that can pass as a human being Cooperative Probl ...
File
File

... "The study of the computations that make it possible to perceive, reason, and act" (Winston, 1992) "The art of creating machines that perform functions that require intelligence when performed by people" (Kurzweil, 1990) Prepared by: Haider Raza & Poonam Nandal. ...
Lecture 15 - Wiki Index
Lecture 15 - Wiki Index

... An important aspect in granular computing is to view granular computing as human-centric intelligent systems. Human-centered information processing was initiated with the introduction of fuzzy sets. Such insights have led to the development of the granular computing paradigm. From machine-centered t ...
Management Information Systems 11e
Management Information Systems 11e

... As people started using newer forms of communications such as emails, chat rooms, voice mail, and digitalbased reports, graphics, and presentations, organizations had to adapt their systems to accommodate the semistructured knowledge. Enterprise content management systems are designed to piggyback ...
A Tour Towards Knowledge Representation Techniques
A Tour Towards Knowledge Representation Techniques

... AI concerned with how knowledge can be represented symbolically and manipulated in an automated way by reasoning programs. KR is a combination of data structure and interpretive procedures that leads to knowledgeable behavior. In this paper, an attempt is made to shed more light on KR, and to look a ...
full text pdf
full text pdf

... human judges. Or consider @everyword, which tweets the next word in its alphabetized inventory of English words every 30 minutes. (@everyword has since exhausted its word list, generating much media speculation (Dewey, 2014) as it neared the end of the Z’s.) The bot, which attracted over 100 thousan ...
Artificial Intelligence
Artificial Intelligence

... games playing: programming computers to play games such as chess and checkers. expert systems : programming computers to make decisions in real-life situations (for example, some expert systems help doctors diagnose diseases based on symptoms). natural language : programming computers to understand ...
events:knowledge-workshop-iros2011:tikanmaki.pdf (340.2 KB)
events:knowledge-workshop-iros2011:tikanmaki.pdf (340.2 KB)

... reating a software for the robot is a demanding task. How to connect all the parts, how to express past, present and future in a way that a robot can truly operate in the environment? How to define the task for the robot? How the information learnt could be used on another robot? And most of all, ho ...
Human-Based Computation for Microfossil Identification
Human-Based Computation for Microfossil Identification

...  Fossilized shells are used to map hydrocarbon ...
Knowledge Management Framework for E-Healthcare
Knowledge Management Framework for E-Healthcare

... within the organisation. In the healthcare sector, patients as well as healthcare workers contribute significantly to knowledge creation and knowledge sharing. Furthermore, tacit and explicit knowledge are not only embedded in people as new knowledge can also be extracted from external sources such ...
important questions in part-a and answers...
important questions in part-a and answers...

... What is the major purpose of a user interface system? A user interface covers all aspects of the communications between a user and the MSS. Most of the power, flexibility, and ease-of-use characteristic of MSS are derived from this component. As it is the part of the system that the user sees, to hi ...
Expert Systems
Expert Systems

... Roles of an expert system • Assisting expert – Assisting an expert is the most commonly found role of an ES. – The goal is to aid an expert in a routine tasks to increase productivity, or to aid in managing a complex situation by using an expert system that may itself draw on experience of other (p ...
AI on the WWW supply and demand agents
AI on the WWW supply and demand agents

... existence of data on the WWW. Then, once they do become aware of these resources, most users need time, training, and upgraded equipment before they can take full advantage of them. Web-available information sources provide heterogenous databases that can require expertise to use. In addition, the q ...
George Kalfopoulos - Department of Mathematics
George Kalfopoulos - Department of Mathematics

... In the previous sections it was noted that expert systems reason with human knowledge and provide explanations about their results. It is interesting enough that this sentence contains all the important topics that should be considered during development. An expert system is as good as the knowledge ...
Class Notes # 1: Overview - School of Electrical Engineering and
Class Notes # 1: Overview - School of Electrical Engineering and

... what is the essence of learning, creativity, intuition? can we observe intelligence without knowing the internal mechanisms (memory, search)? can psychology, neurology and other related fields help build AI systems? is it possible to have intelligence without a host (body)? These questions show how ...
Semiconductor Research Opportunities
Semiconductor Research Opportunities

... Keynote presentation at 2016 CRYPTO/CHES conference. ...
Beyond AI: Artificial Dreams
Beyond AI: Artificial Dreams

... that cannot be reasoned with and which are capable of producing action. To put it differently, whether something is to be considered as a true desire depends solely on its detachment from reasoning process and simultaneously on its ability to trigger an action.4 This new distinction between desires ...
Robotic Process Automation
Robotic Process Automation

... Infosys Automation Platform – Help desk and query resolution Platform Smart User Environment – Application/Information aggregation and 360 degree data view AVTAR – Data mechanization and workflow Data Extraction and Enrichment Solution Reporting Insights and automation – Reporting and reconciliation ...
AAAI Proceedings Template
AAAI Proceedings Template

... Neural networks are capable of solving problems related to patterns, using several techniques such as clustering, classification and generalising; they are also able to predict events in the future on the basis of history [Mena, 2003]. These abilities may be useful for forensics, where they can be u ...
Massively Parallel Artificial Intelligence
Massively Parallel Artificial Intelligence

... processors. These are interconnected based on a complete connection scheme to improve marker propagations. Due to its bit-parallel nature, the associative memory is more pow­ erful in fundamental operations of AI such as association and set intersection, compared with 1-bitPEs of SIMD machines like ...
Intelligent Computer-Aided Engineering
Intelligent Computer-Aided Engineering

... Engineering domains typically have a welltested theoretical basis, with a great deal of codified field experience and empirical knowledge to buttress theory . Such domains provide a solid basis for comparing program predictions and performance. ...
Unit 4_Expert Systems and AI
Unit 4_Expert Systems and AI

... Expert Systems are computer programs that are derived from a branch of computer science research called Artificial Intelligence (AI). AI's scientific goal is to understand intelligence by building computer programs that exhibit intelligent behavior. It is concerned with the concepts and methods of s ...
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Human–computer interaction

Human-computer interaction (HCI) researches the design and use of computer technology, focusing particularly on the interfaces between people (users) and computers. Researchers in the field of HCI both observe the ways in which humans interact with computers and design technologies that let humans interact with computers in novel ways.As a field of research, Human-Computer Interaction is situated at the intersection of computer science, behavioral sciences, design, media studies, and several other fields of study. The term was popularized by Stuart K. Card and Allen Newell of Carnegie Mellon University and Thomas P. Moran of IBM Research in their seminal 1983 book, The Psychology of Human-Computer Interaction, although the authors first used the term in 1980 and the first known use was in 1975. The term connotes that, unlike other tools with only limited uses (such as a hammer, useful for driving nails, but not much else), a computer has many uses and this takes place as an open-ended dialog between the user and the computer. The notion of dialog likens human-computer interaction to human-to-human interaction, an analogy the discussion of which is crucial to theoretical considerations in the field.
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