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MindShare:  Knowledge  Sharing  via
MindShare: Knowledge Sharing via

... suited to the user's current interface modality. 9 An ontology of consumer products permits description of product categories and subcategories, features, vendors, pricing structures, etc. If vendors' and consumers' agents commit to a common ontology, this can facilitate ecommerce services such as c ...
as a PDF
as a PDF

... Some other approaches include genetic fuzzy neural networks and genetic fuzzy clustering, among others ...
Original file was NineWaysToFriendlyAI_v6.tex
Original file was NineWaysToFriendlyAI_v6.tex

... chillingly-titled book Governing Lethal Behavior in Autonomous Robots). However, there are reasonably strong arguments that human values (and similarly a human’s language and perceptual classification) are too complex and multifaceted to be captured in any compact set of formal logical rules. Wallac ...
Nine Ways to Bias Open-Source AGI Toward Friendliness
Nine Ways to Bias Open-Source AGI Toward Friendliness

... chillingly-titled book Governing Lethal Behavior in Autonomous Robots). However, there are reasonably strong arguments that human values (and similarly a human’s language and perceptual classification) are too complex and multifaceted to be captured in any compact set of formal logical rules. Wallac ...
AAAI Press Catalog - Association for the Advancement of Artificial
AAAI Press Catalog - Association for the Advancement of Artificial

... nowledge discovery and data mining (KDD) deals with the problem of extracting interesting associations, classifiers, clusters, and other patterns from data. The emergence of network-based distributed computing environments has introduced an important new dimension to this problem—distributed sources ...
A Theory of Diagnosis from First Principles
A Theory of Diagnosis from First Principles

... heuristic information about system failures is available, for example, of the kind "When the system exhibits such and such aberrant behaviour, then in 90% of these cases, such and such components have failed." Notable examples of approaches to diagnostic reasoning from first principles are [4-7, 15, ...
A survey of dynamic scheduling in manufacturing systems
A survey of dynamic scheduling in manufacturing systems

... difference between the value of the objective function of the new schedule after reacting to the real-time events and the objective function of the predictive schedule before taking into account real-time events. They have then investigated a number of utility and stability measures for single machi ...
click here
click here

... In this section we discuss the motivation for the use of constraint logic programming. We explain which type of problem is best suited for the CLP approach and where these problems occur in practice. They share a set of characteristics, which make them very hard to tackle with conventional problem s ...
Chapter 02 Decisions and Processes: Value Driven Business
Chapter 02 Decisions and Processes: Value Driven Business

... 2. Behavioral grouping can be accomplished quickly and with great detail as demonstrated by Spotlight Analysis when they found the swing voters they coined as the barn raisers. True False ...
Perceiving and Reasoning about a Changing World1
Perceiving and Reasoning about a Changing World1

... about both persistence and change, using knowledge of causal processes. Building an artificial agent that is able to perform these cognitive feats is no less difficult than solving the philosophical problem of our knowledge of the external world. In fact, the best way to solve the engineering proble ...
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 ...
The Role of Subjectivity in Intelligent Systems Communication and
The Role of Subjectivity in Intelligent Systems Communication and

... In activity theory perspective agency is a negotiated relationship between the subject and the tools used by a subject to perform activities in a determinate context (Bernat 2011). Seen from the activity theory perspective Agency is in fact liable to change in response to new contextual development ...
Full-Text PDF
Full-Text PDF

... Interpretability [1–3] and accuracy [4] are the two important features of a fuzzy system developed for a specific application. The term ‘interpretability’ describes the capability of a model that allows a human being to understand its behavior by inspecting its functioning or its rule base. On the o ...
Default reasoning by deductive planning
Default reasoning by deductive planning

... primarily from a theoretic point of view. This has led to numerous different nonmonotonic logics yet only a handful of resulting practical approaches, algorithms, or even implementations. In this paper, we turn to practical issues and consider one of the best-known and most widely used formalisms fo ...
INSTITUTE OF ADVANCED LEGAL STUDIES SCHOOL OF
INSTITUTE OF ADVANCED LEGAL STUDIES SCHOOL OF

... tasks and solve those problems that together if performed by human beings are taken by us to be indicative of intelligence, can be said to exhibit Artificial Intelligence.8 The role of information technology in legislative drafting has been formally examined since the introduction of the first comme ...
MATHEMATICAL LOGIC FOR APPLICATIONS
MATHEMATICAL LOGIC FOR APPLICATIONS

... Frege. Logic has been a device to research foundations of mathematics (based on results of Hilbert, Gödel, Church, Tarski), and main areas of Logic became full-fledged branches of Mathematics (model theory, proof theory, etc.). The elaboration of mathematical logic was an important part of the proc ...
CS 561a: Introduction to Artificial Intelligence
CS 561a: Introduction to Artificial Intelligence

... • PAGE (Percepts, Actions, Goals, Environment) • Task-specific & specialized: well-defined goals and environment • The notion of an agent is meant to be a tool for analyzing systems, • It is not a different hardware or new programming languages ...
Systematic Verification of the Modal Logic Cube in Isabelle
Systematic Verification of the Modal Logic Cube in Isabelle

... Our solution makes extensive use of the fact that all modal logics found in the cube are sound and complete because they arise from base modal logic K by adding Sahlqvist axioms. This is in contrast to prior work by Rabe et al. [16], who address the more general problem of determining the relation b ...
What is a heuristic? - University of Alberta
What is a heuristic? - University of Alberta

... their programs. Things that would be called a heuristic by one researcher would not be so called by others. This is because many heuristics embody a variety of different features, and the various researchers have emphasized different ones of these features as being essential to being a heuristic. Th ...


... their programs. Things that would be called a heuristic by one researcher would not be so called by others. This is because many heuristics embody a variety of different features, and the various researchers have emphasized different ones of these features as being essential to being a heuristic. Th ...
teză de doctorat - AI-MAS
teză de doctorat - AI-MAS

... virtual worlds are by far more interesting than static ones. Applications in which activity independent of the user takes place, such as populating a virtual world with crowds, traffic, virtual humans and non-humans, behaviour and intelligence modeling [1] are possible by integrating artificial inte ...
The Contemporary Theory of Metaphor George
The Contemporary Theory of Metaphor George

... ordinary everyday language: everyday language had no metaphor, and metaphor used mechanisms outside the realm of everyday conventional language. The classical theory was taken so much for granted over the centuries that many people didn’t realize that it was just a theory. The theory was not merely ...
Actions and Specificity
Actions and Specificity

... AC1–unified using the substitution {V 7→ alive} . This illustrates that the technical frame problem is solved by the variable V which carries over all those facts which are not affected by the action. It also illustrates how the concept of dealing with facts as resources is handled in this approach. ...
On reasoning in networks with qualitative
On reasoning in networks with qualitative

... has measles. Now, when using the qualitative method we reason with a restricted set of values. Instead of using the full range of real numbers we are only interested in whether values are positive [+], negative [-], zero [0], or any of the three [?]. Thus we can determine that since the probability ...
Pickman`s Machine: A Reasoning Architecture Baki Cakici
Pickman`s Machine: A Reasoning Architecture Baki Cakici

... sample. All definitions above imply that AI involves computers and most mention the relevance of solving problems in one way or another. Given the focus on computers and problem solving, it is not surprising to find research on reasoning systems from the very early years of the field. Singh (2005, p ...
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Knowledge representation and reasoning

Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.Examples of knowledge representation formalisms include semantic nets, systems architecture, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
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