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Levels of Organization in General Intelligence
Levels of Organization in General Intelligence

Agent-Based Software Engineering
Agent-Based Software Engineering

... social ability: agents interact with other agents (and possibly humans) via some kind of agent-communication language [17], and typically have the ability to engage in social activities (such as cooperative problem solving or negotiation) in order to achieve their goals. To more clearly understand w ...
Knowledge Management for Computational Intelligence Systems
Knowledge Management for Computational Intelligence Systems

... Why Why would wouldit itwork? work? 3. I. Watson, “Knowledge management and case-based reasoning: a perfect match?” in Proc. of the Fourteenth Conference of the International Florida Artificial Intelligence Research Society, I. Russel and J. Kolen, Eds. ...
Artificial Cognitive Systems
Artificial Cognitive Systems

... Lehman, J.F., Laird, J.E., Rosenbloom, P.S.: A gentle introduction to soar, an architecture for human cognition. In: Sternberg, S., Scarborough, D. (eds.) Invitation to Cognitive Science. Methods, Models, and Conceptual Issues, vol. 4. MIT Press, Cambridge (1998) Lewis, R.L.: Cognitive theory, Soar. ...
A preliminary analysis of the Soar architecture as a basis for general
A preliminary analysis of the Soar architecture as a basis for general

... Instead the assumption is that there is important work to be done by focusing on the cognitive band. One reason is that, as just mentioned, a complete model of general intelligence will require a model of the cognitive band. A second reason is that an understanding of the cognitive band can constrai ...
Rise of the humans
Rise of the humans

... transformation in the way that humans and machines connect and relate. In the view of Klaus Schwab, founder of the World Economic Forum, the first three industrial revolutions were underpinned by steam engines, mass production and electricity, and information technology. According to Schwab, the fou ...
Intermediate Features Improve Incremental Analogical Mapping Mark Alan Finlayson Patrick Henry Winston
Intermediate Features Improve Incremental Analogical Mapping Mark Alan Finlayson Patrick Henry Winston

Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

project summary - Internet Mapping Services for San Diego Wildfire
project summary - Internet Mapping Services for San Diego Wildfire

... (Weiss and Kulikowski, 1984; Shea, 1991). In the 1980s, many cartographers tried to develop expert systems for various mapping tasks, including automated point label placement (Christensen, et. al, 1995; Doddi et. al., 1997), automatic generalization (Buttenfield and McMaster, 1991), and map label ...
A Short Tutorial on Model
A Short Tutorial on Model

... General-purpose, component-oriented models are not however the only possible “deep knowledge” about a system. Many other researchers ([19], [23], [17], [13], [20], [27], [2], [4], [6], [21]), while agreeing to the need of overcoming the limitations in the use of expert knowledge, adopted a different ...
MSS-An Overview
MSS-An Overview

Final Course Review
Final Course Review

... • Apply an operator to reduce the difference • (If operator can’t be applied, new subgoal = remove obstacle that prevents applying the operator) ...
Week10-BUAD283-Chp04
Week10-BUAD283-Chp04

... 70% of Top 500 Companies use AI as part of their Decision Support Chapter 4: Decision Support and AI ...
Brian Falkenhainer Kenneth D. Forbus Dedre Gentner REPORT NO
Brian Falkenhainer Kenneth D. Forbus Dedre Gentner REPORT NO

... states "If the two items are facts and their functors are the same, then supply 0 .5 evidence in favor of the match hypothesis ." 3 The rules may also examine match hypotheses associated with the arguments of these items to provide support based on systematicity. This causes evidence for a match hyp ...
Spring Symposium Series - Association for the Advancement of
Spring Symposium Series - Association for the Advancement of

... part of their research. This symposium is designed to address issues raised by the interaction or integration of natural language understanding in complete systems. Rather than see natural language as a text meaning extraction problem, the symposium’s emphasis is on how the goals of an intelligent s ...
Expertise transfer and complex problems" using AQUINAS as a
Expertise transfer and complex problems" using AQUINAS as a

... appropriateness is easy to judge, and its result is unambiguous" (Szolovitz & Pauker, 1978). For example, in selecting a programming language, users may be able to say with certainty that they would be interested only in languages that run on an Apple Macintosh or that they will not consider a langu ...
Case Study for Information Management (資訊管理個案)
Case Study for Information Management (資訊管理個案)

... – Generating solutions to complex problems: Genetic algorithms – Automating tasks: Intelligent agents ...
Analogy-Making as a Complex Adaptive System
Analogy-Making as a Complex Adaptive System

... involves only a very small fraction of what people know about letters and what knowledge they might use in solving these problems), but rather to propose and model mechanisms for ...
Decision Support and Decision Modeling Purpose and Goals
Decision Support and Decision Modeling Purpose and Goals

... Decision Sciences is an interdisciplinary field that draws on economics, forecasting, statistical decision theory, and cognitive psychology. Broadly speaking, Decision Sciences addresses three fundamental and inter-related questions. First, how should a "rational" person make decisions? This questio ...
3 per page - Department of Knowledge Technologies
3 per page - Department of Knowledge Technologies

... Decision Sciences is an interdisciplinary field that draws on economics, forecasting, statistical decision theory, and cognitive psychology. Broadly speaking, Decision Sciences addresses three fundamental and inter-related questions. First, how should a "rational" person make decisions? This questio ...
Expert system methodologies and applications—a decade review
Expert system methodologies and applications—a decade review

... This paper surveys expert systems (ES) development using a literature review and classification of articles from 1995 to 2004 with a keyword index and article abstract in order to explore how ES methodologies and applications have developed during this period. Based on the scope of 166 articles from ...
Case Study for Information Management (資訊管理個案)
Case Study for Information Management (資訊管理個案)

... – Generating solutions to complex problems: Genetic algorithms – Automating tasks: Intelligent agents ...
The Hidden Pattern
The Hidden Pattern

... to create “artificial” minds (in the form of computer software or else novel engineered physical systems). So, this is a work of philosophy-of-mind, yet haunted consistently throughout by the spectre of AI. Much of what’s interesting in these pages probably results from the crosspollination between ...
CS 561a: Introduction to Artificial Intelligence
CS 561a: Introduction to Artificial Intelligence

... • Provides the most general view of AI because it includes: ...
An Oz-Centric Review of Interactive Drama and
An Oz-Centric Review of Interactive Drama and

... language use, etc.), and building theories and systems to implement a capability in isolation. While it is believed that these disembodied pieces of mind will be put together to form a complete "person", this integration is deferred to the future. Behavioral AI seeks to build complete agents (rather ...
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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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