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From Diagrams to Design: Overcoming Knowledge Georgia Institute of Technology, USA
From Diagrams to Design: Overcoming Knowledge Georgia Institute of Technology, USA

... design systems have been small, almost toy, in their size, including some of our own earlier work (e.g., the Kritik system, [1], [2]). The question then becomes how can we enable the construction of large scale design systems that may one day address real-world problems? Of course this question is n ...
Artificial Intelligence and Software Engineering: Status and Future
Artificial Intelligence and Software Engineering: Status and Future

... many AI researchers reach to understand intelligence by becoming able to produce effects of intelligence: intelligent behavior. One element in AI’s methodology is that progress is sought by building systems that perform: synthesis before analysis [78]. “Systems are good science”, as Hendler said [34 ...
Claims and Challenges in Evaluating Human
Claims and Challenges in Evaluating Human

... 1. A computer system (HLI1) can achieve some type of behavior or cognitive capability related to HLI. There are many examples of this type of claim from the early history of cognitive architectures. For example, cognitive architectures were used to illustrate capabilities such as associative retriev ...
2. The Language of First-order Logic
2. The Language of First-order Logic

... Each interpretation assigns to function f a mapping from objects to objects. functions always well-defined and single-valued ...
The language of first
The language of first

... Each interpretation assigns to function f a mapping from objects to objects. functions always well-defined and single-valued ...
AAAI News - Association for the Advancement of Artificial Intelligence
AAAI News - Association for the Advancement of Artificial Intelligence

... 17 July. Of this total budget, $10,000 has been allocated for scholarship funds. ...
H - Computer Science | SIU
H - Computer Science | SIU

...  Weak implications. Domain experts and knowledge engineers have the painful task of establishing concrete correlations between IF (condition) and THEN (action) parts of the rules. Therefore, expert systems need to have the ability to handle vague associations, for example by accepting the degree of ...
Research Priorities for Robust and Beneficial Artificial Intelligence
Research Priorities for Robust and Beneficial Artificial Intelligence

... writing correct specifications can be harder than writing correct code. Unfortunately, it is not possible to verify the specification: the notions of beneficial and desirable are not separately made formal, so one cannot straightforwardly prove that satisfying ψ necessarily leads to desirable behavi ...
full text pdf
full text pdf

... and acting as though one can reliably generate meaningful metaphors without any representation at all of their meaning. When one is forced to reject this hypothesis, as we may well do with @MetaphorMinute on the basis of its often uninterpretable tweets, it becomes necessary to adopt a different hyp ...
Ontology learning from text based on multi
Ontology learning from text based on multi

... Director of the World Wide Web Consortium, referred to the future of the WWW as the semantic web - an extended web of machine-readable information and automated services [Berners-Lee et al., 2001]. The Semantic Web aims at defining ways to allow web information to be used by computers for interopera ...
Philosophical Engineering: Towards a Philosophy of the Web
Philosophical Engineering: Towards a Philosophy of the Web

... evolve the Web into the Semantic Web are viewed with suspicion by most philosophers as a return to Cartesian artificial intelligence. I argue that these widely held viewpoints are incorrect, and that the Web succeeds because of its design principles that distinguish it from both previous hypertext s ...
AAAI-08 / IAAI-08 - Association for the Advancement of Artificial
AAAI-08 / IAAI-08 - Association for the Advancement of Artificial

... Eric Horvitz is a principal researcher and research area manager at Microsoft Research. He has had a lifelong interest in perception, reasoning, and action under uncertainty. He has pursued insights about intelligence via studies of inference and decision making under limited and varying computation ...
G52HPA: History and Philosophy of Artificial Intelligence Lecture 1
G52HPA: History and Philosophy of Artificial Intelligence Lecture 1

... G52HPA Lecture 1: Module Overview ...
Reasoning robot, involved tasks/modules and robot world
Reasoning robot, involved tasks/modules and robot world

... Why? The robot has several degrees of freedom, which induces a high dimensional search space. The search algorithms (as finding the shortest path in a graph) have exponential complexity. The pragmatic solution (divide and conquer) is to separate the ...
Computational Creativity
Computational Creativity

... collaborator rather than a mere tool. Historically, it’s been difficult for society to come to terms with machines that purport to be intelligent and even more difficult to admit that they might be creative. Even within computer science, people are still sceptical about the creative potential of sof ...
Intelligent Agents
Intelligent Agents

... The extent to which we regard something as behaving in an intelligent manner is determined as much by our own state of mind and training as by the properties of the object under consideration. If we are able to explain and predict its behavior we have little temptation to imagine intelligence. With ...
common sense - Courses - University of California, Berkeley
common sense - Courses - University of California, Berkeley

... expect the advice taker to have is that its behavior will be improvable merely by making statements to it, telling it about its symbolic environment and what is wanted from it. To make these statements will require little if any knowledge of the program or the previous knowledge of the advice taker. ...
marked
marked

...  Whatever action is expected to maximize performance measure  NB: expectation – informal sense for now; mathematical def’n later ...
Intelligent Search on the Internet
Intelligent Search on the Internet

... The complexity of Information Retrieval is to be clearly seen in two main unpleasant problems: - synonymity all the documents containing term B synonym of term A present in the query are lost, therefore relevant information is not retrieved. - polysemy occurs when a term has several different meaning ...
A hybrid case-based reasoning and neural network approach to
A hybrid case-based reasoning and neural network approach to

... fault diagnosis for customer service support or help desk. CBR systems rely on building a large repository of diagnostic cases (or past service reports) in order to circumvent the difficult task of extracting and encoding expert domain knowledge [10]. Therefore, CBR is one of the most appropriate te ...
Lecture 0 - School of Computing
Lecture 0 - School of Computing

... Logic and Language • We will start with a logic called equational logic • We will use the CafeOBJ language, which is based on equational logic. We will also use CafeOBJ as a functional programming language and as a theorem prover. • The role of CafeOBJ on this course is to provide a logically based ...
User-centric query refinement and processing using granularity
User-centric query refinement and processing using granularity

... change to other perspectives to seek for possible answers. In order to concentrate on the demonstration of proposed methods, we focus on our discussion in the field of query refinement and processing on large-scale scientific literatures. We carried out some experiments using the SwetoDBLP dataset, ...
From Philosophy and Mental-Models to Semantic Desktop research
From Philosophy and Mental-Models to Semantic Desktop research

... Mental Models have been studied by cognitive scientists as part of efforts to understand how humans know, perceive, make decisions, and construct behavior in a variety of environments. From the Vannevar Bush ideas of how human mind operates As we may think [V.Bush1968] to the Xanadu Project by Ted N ...
Intelligent Online e-Learning Systems: A Comparative Study
Intelligent Online e-Learning Systems: A Comparative Study

... The blackboard [12] is also a web-based online e-learning system. One of the advantages in this system that it used a concept of an Agent. Eventhough its Agent concept is not so effective. It’s a new approach for adding an intelligent concept using an agent technology is worth appreciating. It has c ...
Temporal Symbolic Integration Applied to a Multimodal System
Temporal Symbolic Integration Applied to a Multimodal System

... 4.1 Exploring New Interaction Techniques One primary goal of our work was to establish a system for a gesture detection task and to use it for the integration of gestures and speech. Considering a stand-alone gesture ...
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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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