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AAAI Proceedings Template - Advances in Cognitive Systems
AAAI Proceedings Template - Advances in Cognitive Systems

PowerPoint
PowerPoint

... dedicated to a restricted but well defined area of application systems incorporating modelling and analysis with data and database management systems systems which do not make decisions, but facilitate logistics of decision making process interactive systems that help decision maker systematise deci ...
Perspectives of Using Temporal Logics for Knowledge
Perspectives of Using Temporal Logics for Knowledge

Robotics and Artificial Intelligence: a Perspective on
Robotics and Artificial Intelligence: a Perspective on

... and low-level control functions. The frontier between sensory-motor functions and deliberation functions depends on how variable are the environments and the tasks. For example, motion control along a predefined path is usually a platform function, but navigation to some destination requires one or ...
1. The Concept of Artificial Intelligence Artificial Intelligence (AI) is a
1. The Concept of Artificial Intelligence Artificial Intelligence (AI) is a

... AI is generally associated with Computer Science, but it has many important links with other fields such as Maths, Psychology, Cognition, Biology and Philosophy, among many others. Our ability to combine knowledge from all these fields will ultimately benefit our progress in the quest of creating an ...
AAAI Fall Symposium Series - Association for the Advancement of
AAAI Fall Symposium Series - Association for the Advancement of

... towards this goal in recent years, there is still a wide gap between what theorists claim should be possible and what has been functionally demonstrated on robots. This symposium will bring together artificial intelligence and robotics researchers to explore this dichotomy between theory and practic ...
PPT
PPT

Artificial Intelligence, Ontologies, and Common Sense
Artificial Intelligence, Ontologies, and Common Sense

... Symptom 1 of Cognitive Science: Mental Representations • To study human cognition it is necessary to posit mental representations and examine those representations separately from the “low level” biological or neurological, on one hand, and also separately from the “high level” social or cultural, ...
Design
Design

... against the alternative. This does not mean these are just arguments against evolutionary theory. All arguments, by definition, are characterized by taking one side while arguing against another side Arguments against a theory are about eliminating possible explanations. There is nothing inferior ab ...
Intelligent Design
Intelligent Design

An Introduction to Evidential Reasoning for Decision Making under
An Introduction to Evidential Reasoning for Decision Making under

... Uncertainty: Bayesian and Belief Functions Perspectives ABSTRACT The main purpose of this article is to introduce the evidential reasoning approach, a research methodology, for decision making under uncertainty. Bayesian framework and Dempster-Shafer theory of belief functions are used to model unce ...
02a Enabling Technology for Knowledge Sharing
02a Enabling Technology for Knowledge Sharing

... Impediment 2. Dialects within Language Families: Even within a single family of knowledge representation formalisms (for example, the KL-One family), it can be difficult to share knowledge across systems if the knowledge has been encoded in different dialects. Some of the differences between dialect ...
myworld: an agent-oriented testbed for distributed artificial intelligence
myworld: an agent-oriented testbed for distributed artificial intelligence

... intention; • ψ (b) is a conjunction of predicates over the constants b called the motivation of the intention; and • n ∈ IN is a natural number called the rating or priority of the intention. The idea is that the goal describes the ‘purpose’ of the intention — if it ever becomes satisfied, then the ...
Class Library Implementation of an Open Architecture Knowledge
Class Library Implementation of an Open Architecture Knowledge

... problems of managing large-scale software development involving many people. The human factors of such projects often dominates the technological factors in determining factors critical to success, and it is now generally accepted that technology can only be used effectively when a high level of hum ...
Specialized Business Information Systems
Specialized Business Information Systems

Survey of Applications Integrating Constraint Satisfaction and Case
Survey of Applications Integrating Constraint Satisfaction and Case

... The CSP has a solution if there is an assignment of values to variables such that all the constraints are satisfied. A solution in CSP can mean different things depending on the context and the goal to be achieved. The goal can be to find any solution, an optimal solution, a solution with specific c ...
Chapter 12 - Missouri State University
Chapter 12 - Missouri State University

... Examples of Knowledge Work Systems Computer-Aided Design (CAD): • Information system that automates the creation and revision of industrial and manufacturing designs using sophisticated graphics software Virtual Reality Systems: • Interactive graphics software and hardware that create computer-gener ...
Concurrent Systems: Instructor`s Guide
Concurrent Systems: Instructor`s Guide

... The basic material on implementing and scheduling processes should not present any difficulties. There are tricky questions like “what executes the process management module” which one should be prepared for but are rarely asked. One could spend a great deal of time on sophisticated scheduling algor ...
Exploring the Complex Interplay between AI and Consciousness
Exploring the Complex Interplay between AI and Consciousness

... architecture correspond to processors in GWT. The blackboard’s control shell plays the role of attention, the competition for consciousness in GWT. Writing to be blackboard corresponds to the global broadcast. What’s missing in the blackboard architecture is effectors capable of external as well as ...
Logic and artificial intelligence - Stanford Artificial Intelligence
Logic and artificial intelligence - Stanford Artificial Intelligence

... a mathematical structure, but since our picture provides for the world to be affected by and affect itself and the intelligent machine, one shouldn't worry that our view of the world is impractically ethereal.) Now, the designer of a machine that is to interact with the world never knows what the wo ...
Assessing Elaborated Hypotheses: An Interpretive Case
Assessing Elaborated Hypotheses: An Interpretive Case

... In the second phase, AHEAD constructs a trace: a permissible temporal path through the model with parameter bindings and links to supporting evidence. Because the trace constitutes an elaboration of the hypothesized case, trace extraction is the portion of the general interpretive CBR process (Kolod ...
1983 - Derivational Analogy and Its Role in Problem Solving
1983 - Derivational Analogy and Its Role in Problem Solving

... ARIES (Analogical Reasoning and Inductive Experimentation System), and we are actively experimenting with the other approach. This short paper focu s?s on a comparative analysis of the two methods, rather than discussing implementation techniques or examining our prelimmary empirical results. ...
Call for Participation - Association for the Advancement of Artificial
Call for Participation - Association for the Advancement of Artificial

... and present knowledge in a just-in-time fashion for effective problem solving. Knowledge management systems need to be flexible and adaptive. Research in many areas will impact knowledge management. This workshop will focus on the “problem in the large.” That is, how do knowledge acquisition, knowle ...
Constraints and AI Planning
Constraints and AI Planning

... techniques to extract a solution. The most common is a treebased refinement search, which, unlike branch-and-bound (see the main article), doesn’t apply continuous relaxations. Instead, it applies at all decision nodes a variety of branch selection, domain tightening, and simplification procedures t ...
From Natural Language to Soft Computing: New Paradigms
From Natural Language to Soft Computing: New Paradigms

... The most important objective reached during the workshop is that it opened the way for an interdisciplinary collaboration between researchers in different countries (Romania, USA, France, Serbia, Chile, Greece and Hungary), with different professional experience (scientific researchers, doctors and ...
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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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