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PPT
PPT

... There is another major division in the field of Artificial Intelligence: • Symbolic AI represents information through symbols and their relationships. Specific Algorithms are used to process these symbols to solve problems or deduce new knowledge. • Connectionist AI represents information in a distr ...
Slides
Slides

... Both share with AI the following characteristic: the available theories do not explain (or engender) anything resembling human-level general intelligence ...
ppt
ppt

...  act like a human being  bird-flight argument  ‘black box’ emulation – Turing test  intelligence/thinking plus the ‘hard’ peripherals: perception, language, motion ...
ai-lect2
ai-lect2

... • Agents are autonomous, that is they act on behalf of the user • Agents contain some level of intelligence, from fixed rules to learning engines that allow them to adapt to changes in the environment • Agents don't only act reactively, but sometimes also proactively • Agents have social ability, th ...
PDF file
PDF file

... output for each instance. This way, the agent can perform more instances of the same task. This is the traditional approach of manual development. In contrast, according to the approach of autonomous development, called the developmental approach (Weng et al. 2001), the tasks that a machine is suppo ...
An Expert System for Automotive Diagnosis
An Expert System for Automotive Diagnosis

... Whenever possible, SBDS avoids asking the technician to perform physical tests. Instead, it goes directly to the car for the information, using a specially designed Portable Vehicle Analyzer connected to the on-board computer that controls much of the operation of Ford cars. Raw data such as voltage ...
Towards Adversarial Reasoning in Statistical Relational Domains
Towards Adversarial Reasoning in Statistical Relational Domains

... atoms to maximize the expected utility, defined as follows: X E[U (x, a, e)|a, e] = P (x|a, e)U (x, a, e) x ...
A.I. in Power Systems Alarm Processing
A.I. in Power Systems Alarm Processing

... A power system in a metropolitan area can deliver thousands of alarms per day that can overwhelm human operators. This is an alarm stream which, in periods of high inflow, becomes an ’Alarm Avalanche’ or ’Alarm Flood’ and has been around for 25 years since the advent of the Supervisory Control and D ...
Document
Document

... • An intelligent system is conceived as a system for recognizing patterns in the world and in itself • Probability theory may be used as a language for quantifying and relating patterns • Logic (term, predicate, combinatory) may be used as a base-level language for expressing patterns • The reflexiv ...
A Cognitive Computation Fallacy?
A Cognitive Computation Fallacy?

... Abstract The journal of Cognitive Computation is defined in part by the notion that biologically inspired computational accounts are at the heart of cognitive processes in both natural and artificial systems. Many studies of various important aspects of cognition (memory, observational learning, dec ...
Some Elements for a Prehistory of Artificial Intelligence in the Last
Some Elements for a Prehistory of Artificial Intelligence in the Last

... history). Indeed he also has an important role in the evolution of logic (see for example [46]), which has been rediscovered lately [19, 20], due in particular to his search for a universal language (lingua characteristica universalis) that enables the formalization of the thought and an algorithmic ...
Deploying Softbots on the World Wide Web
Deploying Softbots on the World Wide Web

... no time for intelligence. independent of the previous one. No attempt is made to customize Alta Vista’s responses to a particular individual. The result is homogenized, least-commondenominator service. In contrast, visionaries such as Alan Kay and Nicholas Negroponte have been advocating agents pers ...
Document
Document

... • Machine Learning Software Suite from the University of Waikato ...
Introduction to Machine Learning 1
Introduction to Machine Learning 1

... data. We can construct a good and useful approximation. That approximation may not explain everything, but may still be able to account for some part of data. We believe that identifying the complete process may not be possible, we can still detect certain patterns or regularities. This is the niche ...
The AI Rebellion: Changing the Narrative
The AI Rebellion: Changing the Narrative

... anticipatory emotions, like hope and fear, associated with possible future states (Moerland, Broekens, and Jonker (2016))? Is rebellion expressed through verbal or nonverbal communication (Briggs, McConnell, and Scheutz (2015)) or behaviorally (e.g., such as when a handheld intelligent tool physical ...
The AI Rebellion: Changing the Narrative
The AI Rebellion: Changing the Narrative

... agents with diverse degrees of authority over the Rebel Agent (e.g., commander, operator, or teammate). The Rebel Agent’s regular stance toward the Interactor is generally not intended to be adversarial; rather, it must collaborate and even share goals fully or partially with the Interactor. A Rebel ...
Debate on Liability Ethics in China Financial Market
Debate on Liability Ethics in China Financial Market

... understand one fact, all ethically inclined acts/behaviors can be dominated by one of two principles, which have essential difference and cannot coexist together. The principle that governs an act can be conviction-oriented or liability-oriented. Acts that abide by conviction-oriented ethics, in rel ...
Cognitive Science and Normativity II
Cognitive Science and Normativity II

... more meaningful that the concept of free will from descriptive efficiency perspective (however for any other practical purposes as guarding normative systems we may find the concept of free will more efficient) so we should at least take into considerations the consequences resulting from AI descrip ...
THE USE OF ARTIFICIAL INTELLIGENCE IN DIGITAL FORENSICS
THE USE OF ARTIFICIAL INTELLIGENCE IN DIGITAL FORENSICS

... a particular situation) or even how those processes are applied (strategic or meta knowledge). In the early days of AI, ontology was not considered an issue and a new representation of knowledge was created for each application. However, in the last ten years, there has been a realisation that being ...
Filename: sloman-clowestribute
Filename: sloman-clowestribute

... Just before he left Sussex we had a farewell party, at which he expressed the hope that we would never turn our courses into mere computer science. There is little risk of that, for we have learnt from him how a different approach can inspire and motivate students. The computer science can come at a ...
PPT
PPT

... • Generality: goes beyond explicit reasoning, and even human ...
Intelligent Agents
Intelligent Agents

... Planning is a fundamental problem of AI. Usually requires search through the available actions to find an appropriate sequence. Some people even say AI is really search! c CSSE. Includes material c S. Russell & P. Norvig 1995,2003 with permission. ...
Jane Addams (1860 – 1935) Founder Hull House social settlement
Jane Addams (1860 – 1935) Founder Hull House social settlement

... Aristotle’s Virtue as Excellence may be seen as a way of life – comprising mode of behaviour and character that is committed to excellence as the internal purpose of the professional role. ...
Cognitive Medical Multiagent Systems
Cognitive Medical Multiagent Systems

... elaborated by physicians (an agent may help a human medical specialist in medical decisions elaborations, also he may verify medical hypothesis elaborated by the human medical specialists) and may improve the solving of medical tasks that must be fulfilled in healthcare processes. As examples of app ...
Cognitive architectures
Cognitive architectures

... that they can be a basis of a computer program. Here not only the behavior but also the structure of the modelled system/capability is described. The main field of research is the imitation of the cognition of animate being - especially humans including memory, speech, perception, problem solving, s ...
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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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