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Bach, J. (2008): Seven Principles of Synthetic Intelligence
Bach, J. (2008): Seven Principles of Synthetic Intelligence

... the real world”. The symbol grounding problem has lead to the apostasy of those factions within the “Nouvelle AI” movement that came to believe that “a software agent can never be intelligent” [10, 11], as if only the divine touch of the “real reality” could ever infect a system with the mystical sp ...
Cognitive psychology - Wikipedia, the free
Cognitive psychology - Wikipedia, the free

... The school of thought arising from this approach is known as cognitivism. Cognitive psychology is one of the more recent additions to psychological research, having only developed as a separate area within the discipline since the late 1950s and early 1960s (though there are examples of cognitive th ...
Video Understanding for Activity Monitoring
Video Understanding for Activity Monitoring

...  Model of expected moving objects  Software engineering:  Easy generation of dedicated systems  Reusable & adaptable platform ...
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... Cultural Issues: But why? • Benefits and scope of cross-layer design: – More than 2 layers! – More than 2-3 parameters per layer  Drill-down walkthroughs highlighted benefits to networking folks; explained restrictions to AI folks  Simulation results for specific scenarios demonstrated the power ...
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... In the electrical domain, what should the house builder know? What should an occupant know? Users can’t be expected to volunteer knowledge: I I ...
ARTIFICIAL INTELLIGENCE
ARTIFICIAL INTELLIGENCE

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Close - IJCAI
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... social media users. Users communicate directly as friends, or indirectly, by liking others content. These types of interaction between users are a valuable source but modelling them with the traditional machine learning approaches is challenging. Furthermore, user generated content in social media c ...
Minsky`s Students` progress at MIT…
Minsky`s Students` progress at MIT…

...  central problems, like commonsense reasoning, neglected  majority of researchers pursued commercial applications  e.g. commercial applications of neural nets or genetic ...
Minsky`s Students` progress at MIT…
Minsky`s Students` progress at MIT…

...  central problems, like commonsense reasoning, neglected  majority of researchers pursued commercial applications  e.g. commercial applications of neural nets or genetic ...
Chapter 1(ppt) - Ahmad Falah Aljaafreh, Ph.D.
Chapter 1(ppt) - Ahmad Falah Aljaafreh, Ph.D.

... A Brief History of AI Professor Peter Jackson of the University of Edinburgh classified the history of AI into three periods namely i) the classical period (of game playing and theorem proving), ii) the romantic period, and iii) the modern period the major research work carried out during these per ...
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A Preliminary Investigation of Alien Presence

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A Knowledge-Based Approach to Problem Formulation for Product

... designers face in appropriately selecting a problem formulation method. Artificial intelligence research in the fields of computer-aided process planning (CAPP) (ElMaraghy 1993) and reconfigurable manufacturing systems (RMS) (Ismail, Musharavati et al. 2008) has a significant potential to help manag ...
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Building Like Animals: Using Autonomous Robots to

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... information system that uses the combination of data, decision models and algorithms, and human intuition, knowledge and judgment to aid a decision maker in reaching a specific decision. ...
Improvisation without Representation: Artificial Intelligence and Music
Improvisation without Representation: Artificial Intelligence and Music

... harmonic sequences). However, when designing systems for music without an explicit rule-based framework—music such as free improvisation—a different set of salient aspects of the music are relevant to the system behavior, both for input analysis and output generation. This paper describes a new syst ...
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A Computational Market Model for Distributed

... most opportunistic connections. Centralized coordination or control is anathema in this environment. Instead we seek general decentralized mechanisms which respect the local autonomy of the agents involved, yet at the same time facilitate results (in our case, designs) with globally desirable qualit ...
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... information they are interested in. Today, many web recommendation systems cannot give users enough personalized help but provide the user with lots of irrelevant information. One of the main reasons is that it can't accurately extract user's interests. Therefore, analyzing users' Web Log Data and e ...
Expert systems have not lived up to expectations and have not
Expert systems have not lived up to expectations and have not

... better ways to do their jobs. They include knowledge bases, discussion databases, sales force automation tools, yellow pages, decision support, and imaging tools. Usability ensures user-friendly software. Portability is a measure of how well the software will run on different computers. Profiling: I ...
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EXPERT SYSTEM FOR DECISION-MAKING PROBLEM
EXPERT SYSTEM FOR DECISION-MAKING PROBLEM

... solve a problem and make a right decision. Decision making process is inherently complex due to the various forms of risks involved. The existing models for decision-making do not capture the learned knowledge well enough [1-3,5]. In this paper, we analyze the beneficial aspects of using ES for deci ...
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Artificial Intelligence for Mobile Learning Interactive System
Artificial Intelligence for Mobile Learning Interactive System

... for cars are being included in newer car models coming out and also being sold as after market kits. The hands free solution as a safety benefit is one of the most demanded options. Due to the wide adoption of Bluetooth and its quite interesting properties, a lot of effort has been made trying to ev ...
Control architectures of a cognitive robot
Control architectures of a cognitive robot

... 2. Intelligence and emergence: ‘Intelligent’ behavior arises as a result of an agent’s interaction with its environment. Also, intelligence is ‘in the eye of the beholder’; it is not an innate, isolated property. ...
Systems analyst
Systems analyst

... Reverse reasoning is faster than forward reasoning Reverse reasoning works best when – there are multiple goal variables – there are many rules – all or most rules do not have to be examined in the process of reaching a solution ...
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1. INTRODUCTION Automatic Goal-Directed Progrem

... Views and conclusions contained in this document are fhooe of the authors and should not be interpreted as repreeenting the official opinion or policy of DARPA, the U.S. Government, or any other person or agency ...
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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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