• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Advances in conversational case-based reasoning
Advances in conversational case-based reasoning

... Previous problems are stored with their solutions in the case library of a CCBR system and retrieved in response to an often incomplete query describing the target problem as a set of Kquestion, answerL pairs. A case’s problem description is typically represented in a similar way, although other app ...
A First Comparison of Abstract Argumentation Systems: A Computational Perspective
A First Comparison of Abstract Argumentation Systems: A Computational Perspective

... networks. Our final goal is to thoroughly evaluate their performance (in this work we test complete and stable semantics only), and to find the most efficient one, but also, more in general, to better study this kind of problems from the computational point of view. ...
Comparative Performance of Simulated Annealing and
Comparative Performance of Simulated Annealing and

... generators random(int) and rand() were used for generating random numbers. Identical problem instances were run for both the methods. We wanted to create random instances of the NSP that were realistic and indicative of real life situations. For this purpose, we collected data about nurse rosters fr ...
Intelligence virtual analyst capability
Intelligence virtual analyst capability

Utility Functions
Utility Functions

... Mobile agents can move from one location to another. This can mean physical locations (for robots) or network locations. A computer virus is a kind of mobile agent. Viruses are usually autonomous but not ...
Using General-Purpose Planning for Action Selection in
Using General-Purpose Planning for Action Selection in

... customers in the bar. We are also modelling common interaction patterns for scenarios involving group ordering and for managing low-confidence automatic speech recognition. The second area of work we are exploring is to extend the representation language of the PKS planner to support reasoning with ...
Personified Systems - Eldacur Technologies
Personified Systems - Eldacur Technologies

View PDF - Advances in Cognitive Systems
View PDF - Advances in Cognitive Systems

... to its reasoning process (i.e. to its task structure, selection of methods, or control of reasoning; e.g. Birnbaum et al., 1990; Stroulia and Goel, 1995; Murdock and Goel, 2008), or to its domain knowledge (i.e. the content, representation and organization of its knowledge; e.g. Leake, 1996; Jones a ...
Knowledge Representation Knowledge Representation
Knowledge Representation Knowledge Representation

... events occurring in time. – Its interactions depended on a single patient being considered. February 04 ...
Software Reuse for Mobile Robot Applications Through Analysis
Software Reuse for Mobile Robot Applications Through Analysis

... software analysis phase or the conceptual level of the software is already defined before the framework can be used. A number of software architectures was proposed to help in viewing a clear logical structure and components of the robotic software. CLARAty [17] architecture aims at developing flexi ...
CS437
CS437

... The new era of knowledge engineering, or computing with words (late 1980s – onwards) n Neural network technology offers more natural interaction with the real world than do systems based on symbolic reasoning. Neural networks can learn, adapt to changes in a problem’s environment, establish pattern ...
1. Introduction to Intelligent Systems
1. Introduction to Intelligent Systems

... performance in reaching its objectives i.e: having experiences where the system learned which actions best let it reach its objectives. (Likewise: a person is not intelligent in all areas of knowledge, only in areas where they had experiences).  System - Part of the universe, with a limited extensi ...
Applied ontologies and standards for service robots
Applied ontologies and standards for service robots

... Ontologies in robotic systems • Ontologies allow a clear dialog between all stakeholders involved in the life-cycle of a robotic system, and enable the integration and efficient communication of heterogeneous robotic systems. • Developing an ontology or a standard is not an easy task, especially in ...
Causal Client Models in Selecting Effective Interventions: A
Causal Client Models in Selecting Effective Interventions: A

... additional depression questionnaire. Case descriptions were revised by two experienced clinicians to ensure that they were realistic and provided sufficient information to decide on an intervention (see Appendix A for complete case descriptions). Causal mapping task. The drawing instructions were ba ...
Legal Expert System - CIS @ Temple University
Legal Expert System - CIS @ Temple University

... creativity. In order for it to become more like humans, these important attributes need to be programmed into it. It also has a disadvantage at learning without human support, since it needs to be continuously updated with new information (http://www.law.ecel.uwa.edu.au/lt440/Seminar%2011/lt11.htm). ...
I Agents, Bodies, Constraints, Dynamics, and Evolution Alan K. Mackworth
I Agents, Bodies, Constraints, Dynamics, and Evolution Alan K. Mackworth

... Galantner, and Pribam 1960) was a great inspiration and motivation for this work. In psychology there were few ideas about how planning could be done until AI showed the way. The GOFAIR paradigm demonstrated how to build proactive agents for the very first time. But planning alone does not go nearly ...
User-centric query refinement and processing using granularity
User-centric query refinement and processing using granularity

... (e.g. parameter values) [37]. Granules can be grouped into multiple levels to form a hierarchical granular structure, and the hierarchy can also be built from multiple perspectives [39]. Thus, various hierarchical processing can be performed on the organized structures [6]. Following the above-menti ...
ppt - LaDiSpe - Politecnico di Torino
ppt - LaDiSpe - Politecnico di Torino

...  The situated approach is good for dealing with problems where planning ahead is unnecessary or takes too much time  However, the representation approach is needed for solving more complicated problems where it is necessary to reason about the state of the world  For dealing with complicated task ...
A Tour Towards Knowledge Representation Techniques
A Tour Towards Knowledge Representation Techniques

... the knowledge and the logic is obtained from the experience of a specialist in the area (Business Expert). An Expert System is a program that emulates the interaction a user might have with a human expert to solve a problem. The end user provides input by selecting one or more answers from a list or ...
Darwin`s Avatars: a Novel Combination of Gameplay and Procedural
Darwin`s Avatars: a Novel Combination of Gameplay and Procedural

... When applied to games, procedural content generation (PCG) allows game elements (e.g. maps, textures, items, quests, etc.) to be generated algorithmically rather than through direct human design [19, 5]. This approach can reduce design costs and can also benefit players by providing them unique expe ...
Karlsruhe Text - Tecfa
Karlsruhe Text - Tecfa

The role of artificial intelligence techniques in training
The role of artificial intelligence techniques in training

... explanation, they adapt this explanation to the explainee. They especially vary the granularity of the explanation. If the explainer believes that the explainee knows some parts of the explanation, these parts may be presented very briefly or even skipped. Conversely, for the newer, more difficult, ...
PDF
PDF

... science departments in the mid-1960s. Mathematics is a powerful system, much of it constructible from a small set of axioms by repeated application of a small number of rules. Not surprisingly, theorem proving was a favored topic in early AI research. Chess and checkers also involve the repeated app ...
ICT619 Intelligent Systems
ICT619 Intelligent Systems

...  Either programs the system from scratch or makes use of existing software products like an expert system shell The user group Can be a regular user, eg, an employee of the organization  May be an irregular user such as bank customer  Needs and characteristics of both categories of users need to ...
IUI 2015: ACM International Conference on Intelligent User
IUI 2015: ACM International Conference on Intelligent User

... principal international forum for reporting outstanding research and development on intelligent user interfaces. IUI is where Human-Computer Interaction (HCI) meets the Artificial Intelligence (AI) community. We're also very interested in contributions from related fields, such as psychology, behavi ...
< 1 ... 15 16 17 18 19 20 21 22 23 ... 86 >

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.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report