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Cognitive Robotics - Knowledge
Cognitive Robotics - Knowledge

... robotic control to be central to cognitive robotics [75]. This connects cognitive robotics not only to (traditional, less cognitive) robotics but also, as discussed later, to other areas of AI such as planning and agent-oriented programming. To illustrate the knowledge representation and reasoning i ...
Effective and Efficient Microprocessor Design Space Exploration
Effective and Efficient Microprocessor Design Space Exploration

... (SSL) is a mainstream methodology for exploiting unlabeled data to improve the prediction accuracy. Generally, SSL can be classified into four categories [Zhou and Li, 2010], that is, generative methods [Fujino et al., 2005], S3VMs (Semi-Supervised Support Vector Machines) [Xu and Schuurmans, 2005], ...
Motivations behind modeling emotional agents: Whose
Motivations behind modeling emotional agents: Whose

Business process model
Business process model

Last Lecture Today
Last Lecture Today

... is often limited and not understood by others – The approach of each expert to a situation assessment may be different yet correct – It is difficult to abstract good situational assessments when under time pressure – Users of ES have natural cognitive limits – ES work well only within a narrow domai ...
Strong Cyclic Planning with Incomplete Information and Sensing
Strong Cyclic Planning with Incomplete Information and Sensing

... rock analysis task for a Mars Exploration Rover Mission (see for example (Washington et al. 1999)). Since we are mainly concerned in the high-level control of the rover, this domain does not consider some important characteristics of a real domain, such as temporal duration of actions, resource avai ...
E-connections of Description Logics
E-connections of Description Logics

... concept names) can be interpreted as arbitrary subsets of the interpretation domain— a property that all DLs comply with. It should be noted that ADSs can capture all standard expressive means such as number restrictions, transitive closure of roles, and concrete domains. A very detailed description ...
Chapter 12: Artificial Intelligence and Expert Systems Turban
Chapter 12: Artificial Intelligence and Expert Systems Turban

... Management Information Systems Computer hardware and software Commercial, Government and ...
tax-based expert systems - University of Southern California
tax-based expert systems - University of Southern California

... expert systems to the taxation area. Much of this attention has centered on developing tax-based expert system prototypes based on observed empirical relationships or the tax law. Not as much research has been done on the feasibility, appropriateness, and potential problems of applying ES to taxes. ...
DSS Chapter 1
DSS Chapter 1

... Management Information Systems Computer hardware and software Commercial, Government and ...
THE ROLES AND GOALS OF INFORMATION TECHNOLOGY
THE ROLES AND GOALS OF INFORMATION TECHNOLOGY

...  One way to classify decisions is by their degree of structure. A decision can range along a continuum from very structured to not structured at all (see Figure 4.3 on page 136).  In reality, most decisions fall in between structured and nonstructured, having elements of both.  A second way to cl ...
Improving Control-Knowledge Acquisition for Planning by Active
Improving Control-Knowledge Acquisition for Planning by Active

... theory assumes) that if hamlet sees enough random problems covering reasonably well the space of problems, and it learns from them, the learned knowledge will be reasonably adapted to the future. This solution requires to build one ...
Advancing Multi-Context Systems by Inconsistency Management
Advancing Multi-Context Systems by Inconsistency Management

... a transformation of the MCS and slight adaption of the notion of diagnosis is sufficient to achieve the desired effects in [13]. As one of the strengths of MCS is the ability to allow arbitrary formalisms for knowledge representation inside contexts, we do not want to restrict the users to a specifi ...
Chapter 4 Diagnostic Expert Systems: From Expert`s Knowledge to
Chapter 4 Diagnostic Expert Systems: From Expert`s Knowledge to

... Expert systems found broad application in fault diagnosis from their early stages because an expert system simulates human reasoning about a problem domain, performs reasoning over representations of human knowledge and solves problems using heuristic knowledge rather than precisely formulated relat ...
The DARPA High Performance Knowledge Bases
The DARPA High Performance Knowledge Bases

... scores), but they must be clear and they must be published early in the program. In addition, although performance is important, challenge problems that value performance above all else encourage “one-off” solutions (a solution developed for a specific problem, once only) and discourage researchers ...
How to Reason by HeaRT in a Semantic Knowledge-Based Wiki
How to Reason by HeaRT in a Semantic Knowledge-Based Wiki

ECAI Paper PDF - MIT Computer Science and Artificial Intelligence
ECAI Paper PDF - MIT Computer Science and Artificial Intelligence

... Formalisms for soft constraints aim at more closely integrating constraint satisfaction and optimization. Soft constraints extend hard constraints by defining preference levels for the constraints, such that assignments are associated with an element from an ordered set. This element can be interpre ...
(2008) The Symbol Grounding Problem has been solved. So What`s
(2008) The Symbol Grounding Problem has been solved. So What`s

... and they get progressively coordinated in a group, based on feedback about their usage. If I ask for the wine and you give me the bottle of vinnegar, both of us then learn that sometimes a bottle of vinnegar looks like a bottle of wine. So we need to expand our methods for grounding ”wine” and ”vin ...
Case Study for Information Management (資訊管理個案)
Case Study for Information Management (資訊管理個案)

Advances in the Understanding and Use of Conditional Independence
Advances in the Understanding and Use of Conditional Independence

... probability factors (this is the role of the undirected and cycle structure within the clusters). Lauritzen and Jensen: Local Computation Just as the papers by Koster and by Andersson et al. can serve as an introduction to the literature on the construction of graphical models, the paper by Lauritz ...
Artificial Cognitive Systems
Artificial Cognitive Systems

... –  Cognitive agent is specified by its environment –  Cognitive process determines what is real or meaningful for the agent –  The system constructs its reality (world) as a result of its operation in that world –  Perception provides sensory data to enable effective action, but as a consequence of ...
Business Information Systems
Business Information Systems

CS 561a: Introduction to Artificial Intelligence
CS 561a: Introduction to Artificial Intelligence

... • Anything that can be viewed as perceiving its environment through sensors and acting upon that environment through its effectors to maximize progress towards its goals. ...
Building a Legal Expert System
Building a Legal Expert System

... building in order to behave like a human expert appropriate field. Expert system contains knowledge acquired from the human experts, which is equivalent to a database but it is having set of predefined rules that may be make use of to solving a particular problem. A user interface of expert system p ...
Constraint Programming - What is behind?
Constraint Programming - What is behind?

... algorithm they do not eliminate the need for search in general. Clearly, if a constraint graph containing N nodes is strongly N-consistent, then a solution to the CSP can be found without any search. But the worstcase complexity of the algorithm for obtaining Nconsistency in an N-node constraint gra ...
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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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