Dialogue systems: simulations or interfaces?
... 1. Beginner student: Rule-based processing learning and applying rules for manipulating context-free elements There is thus a grain of truth in GOFAI ...
... 1. Beginner student: Rule-based processing learning and applying rules for manipulating context-free elements There is thus a grain of truth in GOFAI ...
Intelligent tutoring systems survey | SpringerLink
... started in the 1950's with simple `linear programs' . In the 1960's it was felt that one could use the student's response to control the material that the student would be shown . In this way students should learn more effectively as they attempt problems of an appropriate difficulty, rather than wa ...
... started in the 1950's with simple `linear programs' . In the 1960's it was felt that one could use the student's response to control the material that the student would be shown . In this way students should learn more effectively as they attempt problems of an appropriate difficulty, rather than wa ...
Informal and Formal Representations in
... life easy, bad design difficult. For this reason experienced mathematicians spend a significant amount of their time on the design of their concepts. While many formal systems try to support this by providing a high-level language, we argue that more should be learned from the mathematical practice in ...
... life easy, bad design difficult. For this reason experienced mathematicians spend a significant amount of their time on the design of their concepts. While many formal systems try to support this by providing a high-level language, we argue that more should be learned from the mathematical practice in ...
Principles of Rule-Based Expert Systems
... the medical condition of a person with respiratory problems. In order to provide such analyses, these systems need very specific rules containing the necessary textbook and judgmental knowledge about their domains. The key idea is to separate knowledge of the task area as much as possible from the p ...
... the medical condition of a person with respiratory problems. In order to provide such analyses, these systems need very specific rules containing the necessary textbook and judgmental knowledge about their domains. The key idea is to separate knowledge of the task area as much as possible from the p ...
Why would I talk to you?
... role in the classroom[12]. They concluded that the general aim for chatbot designers should not be to mimic human-human conversation or replace the human role entirely, but rather to utilize the strengths and capabilities of these systems to create helpful tools that can simplify people’s work[7]. Z ...
... role in the classroom[12]. They concluded that the general aim for chatbot designers should not be to mimic human-human conversation or replace the human role entirely, but rather to utilize the strengths and capabilities of these systems to create helpful tools that can simplify people’s work[7]. Z ...
Title in 14 Point Arial Bold Centered
... terminal nodes represent the leaders of the groups of units (see Figure 2). The ability for decision-making is distributed across specific groups. Subordinate leaders receive orders from their superiors and use their domain-specific knowledge and local information to make their own decisions. A main ...
... terminal nodes represent the leaders of the groups of units (see Figure 2). The ability for decision-making is distributed across specific groups. Subordinate leaders receive orders from their superiors and use their domain-specific knowledge and local information to make their own decisions. A main ...
Intelligent Support for Exploratory Data Analysis
... the other categories of functions we have similar ranges of possibilities. Reductions of bivariate relationships include measures of covariation (Pearson’s r , Spearman’s rank correlation, etc.) along with measures analogous to those we use for variables. A transformation takes a function f and a re ...
... the other categories of functions we have similar ranges of possibilities. Reductions of bivariate relationships include measures of covariation (Pearson’s r , Spearman’s rank correlation, etc.) along with measures analogous to those we use for variables. A transformation takes a function f and a re ...
ellis horwood limited - Stacks
... How is it possible to acquire the knowledge so important for problemsolving automatically or at least semi-automatically, in a way in which the computer facilitates the transfer of expertise from humans (from practitioners or from their texts or their data) to the symbolic data structures that const ...
... How is it possible to acquire the knowledge so important for problemsolving automatically or at least semi-automatically, in a way in which the computer facilitates the transfer of expertise from humans (from practitioners or from their texts or their data) to the symbolic data structures that const ...
2006 Paula Matuszek
... especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable. (McCarthy, 2002) – The exciting new effort to make computers think ... machines with mi ...
... especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable. (McCarthy, 2002) – The exciting new effort to make computers think ... machines with mi ...
Syntactic and semantic information in finite systems
... 101010...10 repeated 2n times our intuitive understanding of what information is tells us that it should differ from the random list. Removing one or more binary strings from a long sequence of strings changes this number insignificantly. In most cases there is some additional structure in such tree ...
... 101010...10 repeated 2n times our intuitive understanding of what information is tells us that it should differ from the random list. Removing one or more binary strings from a long sequence of strings changes this number insignificantly. In most cases there is some additional structure in such tree ...
Is there a future for AI without representation?
... computing machinery – the aim of so-called “strong AI”. The impression that AI has tacitly abandoned its original aims is strengthened by the widespread belief that there are arguments which have shown a fundamental flaw in all present AI, particularly that its symbols do not refer or represent, tha ...
... computing machinery – the aim of so-called “strong AI”. The impression that AI has tacitly abandoned its original aims is strengthened by the widespread belief that there are arguments which have shown a fundamental flaw in all present AI, particularly that its symbols do not refer or represent, tha ...
mwr-paper.pdf
... A central field within the research of artificial intelligence (AI) is the development of knowledge representation formalisms. Knowledge representations are needed when computer systems must work with information which is not conveniently accessible or usable in its “natural” form (e.g., geographica ...
... A central field within the research of artificial intelligence (AI) is the development of knowledge representation formalisms. Knowledge representations are needed when computer systems must work with information which is not conveniently accessible or usable in its “natural” form (e.g., geographica ...
Goal-Driven Autonomy in a Navy Strategy Simulation
... in which an agent generates new plans for user-provided goals during a plan's execution. We extend online planning with a conceptual model of goal-driven autonomy (GDA), in which an agent reasons about its goals, identifies when they need to be updated, and changes or adds to them as needed for subs ...
... in which an agent generates new plans for user-provided goals during a plan's execution. We extend online planning with a conceptual model of goal-driven autonomy (GDA), in which an agent reasons about its goals, identifies when they need to be updated, and changes or adds to them as needed for subs ...
SIGCHI Conference Paper Format
... relevant to the interaction between a user and an application, including the user and applications themselves”. Dey also gives a definition of context awareness as following: “A system is context-aware if it uses context to provide relevant information and/or services to the user, where relevancy de ...
... relevant to the interaction between a user and an application, including the user and applications themselves”. Dey also gives a definition of context awareness as following: “A system is context-aware if it uses context to provide relevant information and/or services to the user, where relevancy de ...
Conceptual Blending and the Quest for the Holy Creative Process
... 2 CREATIVE PROCESSES When searching for the words “creative process”, we often find more or less esoteric views on a very common intelligence feature, that of creativity. Apart from the particularities of a given situation involving creativity, we think the underlying processes lie essentially in th ...
... 2 CREATIVE PROCESSES When searching for the words “creative process”, we often find more or less esoteric views on a very common intelligence feature, that of creativity. Apart from the particularities of a given situation involving creativity, we think the underlying processes lie essentially in th ...
PPT
... very complex system may not be practical • As computer systems become more complex, we need more powerful abstractions and metaphors to explain their behaviour • In computing, abstractions are important: ...
... very complex system may not be practical • As computer systems become more complex, we need more powerful abstractions and metaphors to explain their behaviour • In computing, abstractions are important: ...
original - Kansas State University
... Able to reason over goal, intermediate, and initial states Basis: automated reasoning One implementation: theorem proving (first-order logic) Powerful representation language and inference mechanism ...
... Able to reason over goal, intermediate, and initial states Basis: automated reasoning One implementation: theorem proving (first-order logic) Powerful representation language and inference mechanism ...