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Pattern-Database Heuristics for Partially Observable
Pattern-Database Heuristics for Partially Observable

... iff each state s ∈ B is a goal state. O is a finite set of actions partitioned into causative actions Oc and sensing actions Os . Causative actions are of the form ac = hPre, Eff i, where the precondition Pre is a partial state, and the effect Eff is a finite set of partial states eff , the nondeter ...
Pogamut 3 – Virtual Humans Made Simple
Pogamut 3 – Virtual Humans Made Simple

A Mixed-Initiative Approach to Rule Refinement for Knowledge
A Mixed-Initiative Approach to Rule Refinement for Knowledge

... hierarchical description of the objects and features from an application domain, and a set of task reduction rules and solution composition rules expressed with these objects. To teach the Disciple agent, the expert defines specific problems and helps the agent to understand each reasoning step towa ...
Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

... Decision Support Systems and Intelligent Systems, Efraim Turban and Jay E. Aronson 6th ed, Copyright 2001, Prentice Hall, Upper Saddle River, NJ ...
Connectionism and Information Processing Abstractions
Connectionism and Information Processing Abstractions

... computational terms. As the size of the multiplicands increases, the algorithmic solution suffers in the amount of time it takes to complete the solution, and the slide rule solution suffers in the amount of precision it can deliver. Let us call the algorithmic and slide rule solutions S 1 and S 2 . ...
INTRODUCTION TO Al AND PRODUCTION SYSTEMS 9
INTRODUCTION TO Al AND PRODUCTION SYSTEMS 9

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

... optimize balance between user goals & environment constraints? use reasoning to decide on the best course of action? communicate back with the user? ...
PPT 11
PPT 11

... Knowledge Management • Knowledge management systems (KMS) A system that facilitates knowledge management by ensuring knowledge flow from the person(s) who know to the person(s) who need to know throughout the organization; knowledge evolves and grows during the process ...
Ontology learning from text based on multi
Ontology learning from text based on multi

... that describe a certain domain. Gruber [Gruber, 1993]3 defines ontology as a ”formal, explicit specification of a shared conceptualisation”. More precisely, from the W3C Recommendation [OWL Requirements Document, ...
Execution monitoring in robotics: A survey
Execution monitoring in robotics: A survey

... is a general model for crossing any door between two rooms. The main drawback of this method is the lack of robustness, since full observability of the robot’s state is assumed. A similar approach to PLANEX is presented in [18]. Faults are detected by comparing the current state with the model of th ...
Constraint Based Reasoning over Mutex Relations in Graphplan
Constraint Based Reasoning over Mutex Relations in Graphplan

... relation over the elements of the domains of its variables. Having a constraint satisfaction problem the task is to find an assignment of values from D to all the variables from X such that all the constraints from C are satisfied. The problem of finding a solution of the constraint satisfaction pro ...
HTN Planning Approach Using Fully Instantiated
HTN Planning Approach Using Fully Instantiated

Knowledge-based Systems and Interestingness Measures: Analysis
Knowledge-based Systems and Interestingness Measures: Analysis

... subsystem and a knowledge base. The central component of the knowledge-based system is the knowledge base (KB). The knowledge base is domain specific. The quality, consistency, integrity and efficient usage of the KB profoundly affect the performance of these systems. If health information technolog ...
Schultz 10e IMTB Chapter 15
Schultz 10e IMTB Chapter 15

... began to work on problems in cognitive psychology and published the famous article: “The magical number seven, plus or minus two: Some limits on our capacity for processing information.” In the article, he postulates that humans can only process 7 (plus or minus 2) “chunks” of information at a given ...
The Simulation of Action Strategies of Different Personalities
The Simulation of Action Strategies of Different Personalities

... My words will fail to express my deepest heartfelt thanks to my supervisor, Professor Dietrich Dörner, for giving me the opportunity to carry out this ∗thesis and for his advices, suggestions and scientific guidance throughout this work. Without his continuous encouragement and patience this work wo ...
A Framework for Abstract Group Argumentation
A Framework for Abstract Group Argumentation

... number of contexts and specifies the information flow between them.4 So-called bridge rules play a key role: they are used to provide input for a context based on the beliefs held in other relevant contexts. Since different contexts may use different representation languages, this may include “trans ...
Notes 1: Introduction to Artificial Intelligence
Notes 1: Introduction to Artificial Intelligence

... – we could teach it lots of rules about what to do – or we could let it drive and steer it back on course when it heads for the embankment • systems like this are under development (e.g., Daimler Benz) • e.g., RALPH at CMU – in mid 90’s it drove 98% of the way from Pittsburgh to San Diego without an ...
AI Planning in Web Services Composition: a review of
AI Planning in Web Services Composition: a review of

... by the users. SHOP2 has demonstrated good results when using a great amount of methods and operators. It was, recently, extended to deal with non-determinism (NDSHOP2) [Kuter and Nau 2004]. Kim and Gil’s proposal. Kim and Gil [Kim and Gil 2004] argues that because Web service composition is a compl ...
as a PDF
as a PDF

... Management Training Immersive Training Systems. It is well known that effective human performance on complex tasks requires deliberate practice under realistic conditions [EKT93]. To provide realistic practice scenarios in an interactive setting, immersive training systems are often used [GD88, WFH+ ...
AMC  - Queen Mary University of London
AMC - Queen Mary University of London

... In her seminal book The Creative Mind, Margaret Boden [2004] identifies three different types of creativity, relative to the notion of the conceptual space which contains all the concepts of a particular kind: combinatorial, exploratory, and transformational. Combinatorial creativity, similar in pri ...
PDF - Programming Systems Lab
PDF - Programming Systems Lab

distribcog
distribcog

GRANULAR COMPUTING: A NEW PARADIGM IN INFORMATION
GRANULAR COMPUTING: A NEW PARADIGM IN INFORMATION

... the fastest growing information processing paradigm in computational intelligence and human-centric systems. It has been gaining popularity in the past ten years. GrC is often loosely defined as an umbrella term to cover any theories, methodologies, techniques, and tools that make use of granules in ...
Lecture 8 slides
Lecture 8 slides

... • Planning and scheduling system used daily to generate command sequences for the Mars Exploration Rover mission. • Uses primarily mixed- initiative planning (i.e. collaborative planning between human and robot) COMP-424, Lecture 8 - January 30, 2013 ...
The Rise of Granular Computing - University of Regina
The Rise of Granular Computing - University of Regina

... more difficult. Consequently, we do not have satisfactory success in duplicating them in computers yet. In contrast, abstract thought is a new trick developed more recently in human evolutionary history and we have not fully mastered it yet. It therefore seems intrinsically difficult when we do it, ...
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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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