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A MANUSCRIPT OF KNOWLEDGE REPRESENTATION
A MANUSCRIPT OF KNOWLEDGE REPRESENTATION

... included to compute slot values, and facets extend knowledge about an attribute [10]. There are two types of frames, Object frame and Activity frames. Object frames are used to represent the real world entity not limited to physical entity. These frames will act as a data structure activity frame to ...
Artificial life: organization, adaptation and complexity
Artificial life: organization, adaptation and complexity

... as living and flourishing in a changing and uncertain environment seem to require at least a rudimentary form of intelligence. Their methodology is also similar: both study natural phenomena by simulating and synthesizing them. Nevertheless, there is an important difference between the modeling stra ...
intelligent robots: the question of embodiment
intelligent robots: the question of embodiment

... determines how behaviour is generated based on signals from sensors and to motor systems. Research in bottom-up approaches via reactive architectures has primarily lead to emergent behaviour [17] [18] [19] [20]. Such approaches involve quite simplistic control architectures and highlight how relativ ...
- CRISP Repository
- CRISP Repository

... Abstract  When androids take care of delusive patients, ethic-epistemic concerns crop up about an agency’s good intent and why we would follow its advice. Robots are not human but may deliver correct medical information, whereas Alzheimer patients are human but may be mistaken. If humanness is not t ...
Constraint Programming and Artificial Intelligence
Constraint Programming and Artificial Intelligence

... “. . . the success of failure of backtrack (programming) often depends on the skill and ingenuity if the programmer in his ability to adapt the basic methods to the problem at hand and in his ability to reformulate the problem so as to exploit the characteristics of his own computing device.” ...
A hybrid case-based reasoning and neural network approach to
A hybrid case-based reasoning and neural network approach to

Artificial life - The University of Texas at Dallas
Artificial life - The University of Texas at Dallas

... as living and flourishing in a changing and uncertain environment seem to require at least a rudimentary form of intelligence. Their methodology is also similar: both study natural phenomena by simulating and synthesizing them. Nevertheless, there is an important difference between the modeling stra ...
open information extraction from the Web
open information extraction from the Web

... sample of 500 sentences selected at random from the IE training corpus developed by Bunescu and Mooney.6 We found that most relationships expressed in this sample could in fact be characterized by a compact set of relation-independent patterns. See Table 1 for these patterns and an estimate of their ...
Towards a Logic-programming System to Debug ASP Knowledge Bases
Towards a Logic-programming System to Debug ASP Knowledge Bases

Reflections on Brian Shackels Usability
Reflections on Brian Shackels Usability

... of productivity and quality. But the picture is not simple. For example, it may not increase the speed of implementation or reliability of the programs, but may improve program understanding. Such process issues are at the core of Shackel’s paper. 3.2. On-going research into usability test methods I ...
validation and verification of knowledge bases in the context of
validation and verification of knowledge bases in the context of

... acquired by the knowledge engineer from the specialist is the basis for solving specified problems in the organization. And so it should be free from anomalies previously considered, to give correct solutions. Anomalies, which may appear in the rule-based systems may be very difficult to detect by t ...
pdf file
pdf file

Searching for Arthur Koestler`s Holons – a systemstheoretical
Searching for Arthur Koestler`s Holons – a systemstheoretical

... Another type of decomposition of a model as discussed above is given by a multi-layer representation of the model. There the individual components are ordered hierarchically and depending on the level in the hierarchy they have to fulfill specific functions. Examples of typical applications of multi ...
Probabilistic Reasoning and the Design of Expert Systems
Probabilistic Reasoning and the Design of Expert Systems

... work. That is, in many applications the if… then… rules of the system are NOT always certain “if and only if” or cause/effect relationships. That is, many of the rules express “usually”, “it is likely that”, “often”, or “sometimes” relations between their conditions and the actions. This is not alwa ...
What kind of cognitive process is argumentation?
What kind of cognitive process is argumentation?

... Minimally argumentative agents – not for passing Turing tests but for human/machine interaction and knowledge acquisition This is an exercise in android epistemology... ...
Nature-inspired Modeling, Optimization and Control
Nature-inspired Modeling, Optimization and Control

... dedicated to the investigation of intelligent paradigms existing in Nature and studied by systems approaches, such as Systems Biology, in order to learn from them how to better design smart, i.e. intelligent, adaptive and advanced information systems. ...
Paper in Word ()
Paper in Word ()

... performs a task, upper bound statements can be made about how much information processing the task requires. Page 2 ...
MS IN CIS COURSE DESCRIPTIONS
MS IN CIS COURSE DESCRIPTIONS

... Rationale: These changes are being made at the request of the MSSWE program committee. Their goal is to have this course better reflect current practice in the field of software quality assurance. It is difficult to study software quality without also spending a CIS 568/536 DATA MINING significant a ...
Reports of the AAAI 2010 Conference Workshops
Reports of the AAAI 2010 Conference Workshops

... agents that can self-select their goals. How should an autonomous agent behave competently when interacting in a complex environment (for example, partially observable, multiagent, with large decision spaces, dynamic updates, stochastic outcomes, and continuous effects)? The option of complete a pri ...
Levinson_Deep_Blue_Is_still_an_infant
Levinson_Deep_Blue_Is_still_an_infant

... (or a better goal achieved at the same cost), the meta-reasoning may be called successful. Meta reasoning may even occur recursively, when reasoning occurs about whether or not to perform meta-reasoning. We believe that is possible that a new generation of chess tools will be developed that operate ...
Forward and Backward Chaining and and
Forward and Backward Chaining and and

... of chart with a flow-chart. It isn’t the same thing at all.  A flow-chart shows the sequence of operations that a program must go through (probably with some branching) to execute its task.  The and-or graph shows the pieces of evidence that must be present if a certain conclusion is to be reached ...
coherent knowledge processing at maximum entropy by spirit
coherent knowledge processing at maximum entropy by spirit

... of the above clusters as a whole is contained in a hyperedge. The corresponding algorithms are similar to those for triangulating a graph. They all start with the - in general cyclic - hypergraph, whose hyperedges are the clusters of variables mentioned above. Then they add further variables to clus ...
and QUALITATIVE CONSTRAINTS - Dipartimento di Informatica
and QUALITATIVE CONSTRAINTS - Dipartimento di Informatica

... (1.1) the end of A is equal to the start of B (1.2) the end of B is equal to the start of C (1.3) the duration of A is between 10 and 20 m (1.4) the duration of B is between 10 and 20 m (1.5) the duration of C is between 10 and 20 m ...
Agent-based Abstractions for Verifying Alternating
Agent-based Abstractions for Verifying Alternating

... A key issue concerning these logics for strategic reasoning regards the development of techniques for verifying multiagent systems (MAS) with respect to properties expressed in these rich formal languages. This endeavour is problematic as the typical verification problems for several of these formal ...
Connections, Symbols, and the Meaning of Intelligence
Connections, Symbols, and the Meaning of Intelligence

... In trying to express his concern that philosophy of the mind is not addressing the issues revolving around consciousness, John Searle presents the problem of meaning in psychofunctionalism (Searle, 1990). Basically, psychofunctionalism cannot precisely fIx the meaning of mental states--more specifIc ...
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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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