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MEDICAL DIAGNOSIS BY INTERACTING NEURAL AGENTS
MEDICAL DIAGNOSIS BY INTERACTING NEURAL AGENTS

... and extensibility. As long as rule bases are relatively small in size, expert systems can be highly effective. However, the extension of rule-bases, e.g., as part of a learning process, can cause serious problems since it can easily happen that the overall semantics and behavior of the rule base get ...
9. “… if and only if …”
9. “… if and only if …”

... and only our claims about T are learned from experiment or our claims about T are learned from logic or mathematics. Did Hume discover this claim through experiments? Or did he discover it through logic? What fate would his book suffer, if we took his advice? ...
Automated Deduction Techniques for the Management of
Automated Deduction Techniques for the Management of

... This context is the Slicing Books Technology (SBT) tool for the management of personalized documents. With SBT, a document, say, a mathematics text book, is separated once as a preparatory step into a number of small units, such as definitions, theorems, proofs, and so on. The purpose of the sliced ...
Modeling and Forecasting the Information Sciences
Modeling and Forecasting the Information Sciences

... assumption that anticipation is possible and, at some level of modeling, history does repeat itself. Our technological civilizations go one step further and change the universe to reify our anticipations. The information sciences, in particular, structure a wholly artificial reality composed from th ...
Print version - Association for the Advancement of Artificial Intelligence
Print version - Association for the Advancement of Artificial Intelligence

... physics having fun in theology and hermeneutics. My perspective on AI is that of an outsider, one trained in computational physics (which is largely irrelevant) and also in theological hermeneutics, which might matter. What follows is mostly questions, with some context. There is a distinction betwe ...
The Role of Knowledge Modeling Techniques in Software
The Role of Knowledge Modeling Techniques in Software

... These principles need to be combined adequately in order to formulate a knowledge based application. A reasonable approach to be followed in the design process is to start from the collection of top-level tasks that describe the set of goals to be achieved by the application to support an adequate ...
CS437
CS437

... n Artificial neural networks have come a long way from the early models of McCulloch and Pitts to an interdisciplinary subject with roots in neuroscience, psychology, mathematics and engineering, and will continue to develop in both theory and practical applications. ...
Resolution Based Explanations for Reasoning in the Description Logic
Resolution Based Explanations for Reasoning in the Description Logic

... 2. Then a resolution based automated theorem prover (ATP) is used to generate the resolution proof, taking the translated formulae as inputs. 3. At last, the resolution proof is transformed into its corresponding refutation graph [6]. Our algorithm traverses the graph and “reads” the proof to genera ...
Development of Integrated Criminal Justice Expert System
Development of Integrated Criminal Justice Expert System

... appropriate systems, reconciles conflicting information, and notifies the expert system when data for its request does not exist in the supported CJIS [7]. Expert systems can be constructed for additional applications and have immediate access to all of the information in the existing CJIS. New or ...
Why Generality Is Key to Human-Level Artificial Intelligence
Why Generality Is Key to Human-Level Artificial Intelligence

... In summary, HDTP’s capacities of analogy, cross-domain generalization, cross-domain specialization, and detection of congruence relations lets the framework support new cognitive faculties without significantly changing the underlying model. This versatility results from several design decisions tha ...
2 Multi-agent paradigm
2 Multi-agent paradigm

... The paper is oriented on summarization of recent results of existing as well as possible multiagent systems application in various sub-areas of water management. As multi-agent systems are very suitable also as a framework for ambient intelligence environment, some first ideas about exploitation of ...
Human Skill - Alex Quinn
Human Skill - Alex Quinn

... of computer systems to perform tasks previously attempted using AI algorithms alone. It turns out that there are actually many different kinds or genres of DHC. Some approaches are more collaboration oriented and some are more computationally oriented. But all use networks of humans that are managed ...
چند نمومه تمرین - Hassan Saneifar Professional Page
چند نمومه تمرین - Hassan Saneifar Professional Page

... Knowledge Representation Schemes • Representing the knowledge of humans in a systematic manner • This knowledge is represented in a knowledge base such that it can be retrieved for solving problems. 
 • Some of knowledge representation schemes: – Production Rules ...
Presentation
Presentation

... – rule-based systems, expert systems, and AI, in the presence of variability: CC of rules – model-based systems, utilizing adaptive models: CC of computations (N and NP complete) – Chomskyan linguistics: (1-1957) rule-based, (21981) model-based (rules and parameters) ...
1993 - KDnuggets
1993 - KDnuggets

... in the prediction of protein secondary structure, where not only was the ILP method better in terms of predictive accuracy than alternative published methods, but perhaps more significantly, it yielded new domain knowledge. Still, much work remains to be done in handling noisy probabilistic concepts ...
Application of multi-agent systems and ambient intelligence
Application of multi-agent systems and ambient intelligence

... The paper is oriented on summarization of recent results of existing as well as possible multiagent systems application in various sub-areas of water management. As multi-agent systems are very suitable also as a framework for ambient intelligence environment, some first ideas about exploitation of ...
View PDF - CiteSeerX
View PDF - CiteSeerX

... moresophisticated than typically used in scientific programming and may also be of use. Scientists used to working with purely numerical arrays will find AI’s manydata structures of use. One of the ubiquitous problems in large scale scientific experiments is that of classification. This applies whet ...
Defining Artificial Intelligence
Defining Artificial Intelligence

... Directories define intelligence as the ability to acquire, understand and apply knowledge or the ability to exercise thought and reason. According to Unified Theories of Cognition, intelligence may be Natural (biological) or Non Natural (Mechanical) (Allen Newell: Unified Theory of Cognition). Biolo ...
AI and NLP – a fundamental approach
AI and NLP – a fundamental approach

... behavior), and knowledge technology got stuck at linking of keywords. More over, even after 60 years, hardly anything fundamental is defined yet in this field (and scientists don't seem to care). So, I have to conclude that this field is not scientific yet, similar to aviation based on feathers and ...
RAIR Lab Visit, Ken Gertz 010604
RAIR Lab Visit, Ken Gertz 010604

... (mathematical logic) ...
ASP-DPOP: Solving Distributed Constraint Optimization Problems
ASP-DPOP: Solving Distributed Constraint Optimization Problems

... a set of finite domains, where Di is the domain of variable xi ; F = {f1 , . . . , fm } is a set of utility functions (also called constraints), where each k-ary utility function fi : Di1 × Di2 × . . . × Dik 7→ N ∪ {−∞, 0} specifies the utility of each combination of values of variables in its scope ...
Lecture 45 - KDD - Kansas State University
Lecture 45 - KDD - Kansas State University

... – Training examples D: positive, negative examples of target function c – Analytical learning: also given domain theory T for explaining examples ...
Artificial Intelligence: From Programs to Solvers
Artificial Intelligence: From Programs to Solvers

... the realization that useful heuristics can be derived automatically from the representation of the problem in a domain-general language [43,3,2]. It does not matter what the problem is about, a relaxed problem is obtained directly and effectively from the problem representation, whose solution from ...
Computer
Computer

... Several Greek schools developed various forms of logic: notation and rules of derivation for thoughts; may or may not have proceeded to the idea of mechanization Direct line through mathematics and philosophy to modern AI Problem: Not all intelligent behavior is mediated by logical deliberation ...
Logic Programming Languages
Logic Programming Languages

... Forward Chaining – bottom-up resolution (start with facts, find goal)  Backward Chaining – top-down resolution(start with goal, find facts) ...
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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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