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Semantic Memory for Avatars in Cyberspace
Semantic Memory for Avatars in Cyberspace

... Performance of various models of semantic memory and episodic memory may be tested in this game in a realistic, difficult application. Asking questions to understand precisely what the user has in mind is critical for search engines and many other applications. ...
129 - UMBC ebiquity
129 - UMBC ebiquity

... The agents in TAGA use OWL in various ways in communication using the FIPA agent content language (ACL) and also use OWL-S as the service description language in FIPA’s directory facilitators. Many of the agents in the TAGA system use FOWL directly to represent and reason about content presented in ...
Planning with Different Forms of Domain
Planning with Different Forms of Domain

... have exploited domain-dependent hierarchical and partial-order knowledge; and satisfiability-based planners such as Blackbox have experimented with a variety of domain-dependent control knowledge encoded as propositional formulae. In this paper, we propose to exploit temporal knowledge and hierarchic ...
Document
Document

... How important was their buy-in to the success of these projects? Discuss alternative strategies for companies to foster adoption of new systems like these ...
Rule-Based Expert Systems
Rule-Based Expert Systems

... declarative manner that is close to how experts explain their own reasoning. ...
Artificial Intelligence. T1: Introduction
Artificial Intelligence. T1: Introduction

... 1. Agent is in a given state 2. State is updated by incorporating the knowledge obtained through a percept. 3. The agent selects an action from a table containing condition-action rules. Incorporate a model to handle partially observable environments The agent has a model of the evolution of the wor ...
Fifty Years of AI: From Symbols to Embodiment
Fifty Years of AI: From Symbols to Embodiment

... initially a major impact on psychology (particularly through Jerome Bruner, George Miller, Alan Newell, and Herbert Simon) and linguistics. Once the information processing view is adopted, the next step is to do the hard work and investigate in great detail concrete examples. Initially it was though ...
Napredak u radu na Hrvatskome nacionalnom korpusu
Napredak u radu na Hrvatskome nacionalnom korpusu

... • computers used in processing of natural language data • special type of text processing (text = realisation of linguistic system) • aim: to process in an efficient manner the largest amount of data with the smallest usage of computational resources ...
2 COMPUTATIONAL MODELLING IN ARTIFICIAL INTELLIGENCE
2 COMPUTATIONAL MODELLING IN ARTIFICIAL INTELLIGENCE

... Artificial Intelligence (AI) is a branch of computer science in which methods and techniques are developed that permit intelligent computer systems to be built. These systems allow the simulation of different aspects of human and animal cognition, including perception, action, communication, problem ...
Verification Condition Generation
Verification Condition Generation

... some property (like when we proved type soundness) • much harder to prove general properties of the behavior of a program on all inputs ...
chap.1
chap.1

... a mere handful of stuff can perceive, understand, predict, arid manipulate a world far larger and more complicated than itself. The field of artificial intelligence, or AI, goes further still: it attempts not just to understand but also to build intelligent entities. is one of the newest sciences. W ...
KBS88.pdf
KBS88.pdf

... language that was designed for solving a classification problem using backward chaining would probably not be very suitable for solving a design or planning problem. On the other hand, proponents of high level programming language environments (sometimes known as 'hybrid systems'), such as LOOPS 2, ...
Perspectives of Using Temporal Logics for Knowledge
Perspectives of Using Temporal Logics for Knowledge

... Time, as a dimension, is a basis for reasoning about action and change – only a proper use of temporal dimension allows for representation of change and its features, as e.g. its scope or interactions caused by change [10], [15]. Such explicit temporal reference is possible through the use of a temp ...
Chapter Slides
Chapter Slides

... Data driven DSS • Make use of OLAP and data mining to extract useful information. • With OLAP uses need to have a good idea of what information they are looking for. • OLAP allows data to be viewed from different perspectives, i.e. the same data is viewed in different ways using multiple dimensions ...
CISB450 - Department of Computer and Information Science
CISB450 - Department of Computer and Information Science

... artificial intelligence (1943-56), the rise of artificial intelligence (1956-late 1960), the impact of reality (late 1960 – early 1970), the technology of expert systems (early 1970 – mid 1980), how to make the machine learn (mid 1980 – onwards), evolutionary computation (1970 – onwards), the new er ...
Slide 1
Slide 1

... • Offers optimization but not practical • Not ability to deal with partial, incomplete and uncertain information ...
Knowledge Management Systems: Development and Applications Part II: Techniques and Examples
Knowledge Management Systems: Development and Applications Part II: Techniques and Examples

... -Textual knowledge - Most efficient way to store, retrieve, and transfer vast amount of information -Advanced processing needed to obtain knowledge - Traditionally done by humans - It is useful to review the discipline of Human-Computer Interaction to understand human analysis needs ...
Sources - HCPSS Connect
Sources - HCPSS Connect

... AI development, which includes an explanation of the Turing Test. It then describes modern branches of AI. Some branches are concerned with reasoning and study rule-based/expert systems and data structures to develop intelligence. Others attempt to mimic nature, i.e. neural networks and genetic algo ...
Dimensions of Interaction
Dimensions of Interaction

... particular pair of agents might not always be easy, or even possible. In such cases, communication can be facilitated by interposing a mediating agent. The second dimension of interaction is coordination. With multiple agents with multiple active goals, progress requires agents to share resources an ...
ARTIFICIAL INTELLIGENCE
ARTIFICIAL INTELLIGENCE

...  It is the science and engineering of making intelligent machines, especially intelligent computer programs.  It is related to the similar task of using computers to understand human intelligence.  AI doesn’t have to confine itself to methods that are biologically observable. 2. What is intellige ...
Semi-Supervised Structuring of Complex Data
Semi-Supervised Structuring of Complex Data

... semantics of the dataset. We seek to construct, using unsupervised algorithms, new features that are more appropriate for describing the dataset and, at the same time, which are comprehensible for a human user. We propose in [Rizoiu et al., 2013] two algorithms that construct the new features as con ...
The role of Artificial Intelligence in Knowledge Management
The role of Artificial Intelligence in Knowledge Management

... Knowledge Management has emerged as a predominantly management discipline in the early to mid-90s. The American Productivity and Quality Centre has identified six common strategic elements [1] among US firms that have embraced this new field. Two elements are the formulation of business strategies a ...
here - KB e-learning Site for IB ITGS and IGCSE ICT
here - KB e-learning Site for IB ITGS and IGCSE ICT

... A knowledge-based system relies on a knowledge base that is filled with “rules” of thumb (intuition, judgment, and inferences) about a specific application area to solve a particular problem. Expert systems are the most sophisticated implementation of a knowledge –based system. Once the knowledge of ...
CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE
CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE

... THEN rules to repetitively break a goal into smaller sub goals which are easier to prove. Coping with uncertainty: the ability of the system to reason with rules and data which are not precisely known. Data driven reasoning or forward chaining – an inference technique which uses IF THEN rules to ded ...
The Wiley-Blackwell Journal Expert Systems: The Journal of
The Wiley-Blackwell Journal Expert Systems: The Journal of

... and effort in order to obtain more effective solutions for many different research areas. However, although the techniques and approaches are somewhat similar, the two communities often tackle problems from rather different perspectives. Among these research areas, Human Behaviour Analysis (HBA) has ...
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Knowledge representation and reasoning

Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.Examples of knowledge representation formalisms include semantic nets, systems architecture, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
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