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University  of  Michigan Jerusalem,  Israel durfee/
University of Michigan Jerusalem, Israel durfee/

... others to make, but it might believe that they in turn might be basing decisions on what they believe the initial agent will decide. Such reciprocal rationality leads to a nesting of models that can potentially become intractable. To solve such problems, game theory has developed techniques for disc ...
Hermes: Implementing Goal-Oriented Agent Interactions
Hermes: Implementing Goal-Oriented Agent Interactions

... swim lane contains different types of actions (see below) that can be performed by that role. The key in Figure 3 illustrates four different action types, each of which has a different meaning and use4 . An Independent Action is one that can start independently from other actions, i.e. it is not nec ...
slides - UCLA Computer Science
slides - UCLA Computer Science

... and was increasingly expensive to maintain. Reasons for these limits include: ...
Logical Formal Description of Expert Systems
Logical Formal Description of Expert Systems

... 1. Introduction Expert Systems are usually developed for specific applications (Georgeff, Firschein, 1985; Davis, 1985; Antonelli, 1983; Hinchman, Morgan, 1983) in a wide class of systems including free-dynamics systems (as, for instance, computing systems, transport-storage problem, etc.) and dynam ...
A SURVEY OF THE APPLICATION OF MACHINE LEARNING IN
A SURVEY OF THE APPLICATION OF MACHINE LEARNING IN

... The emergence of the DSS research stream is based upon the idea of using computers for supporting decision-makers (Bonini, 1963). The work of Gorry and Scott Morton (1971) is one of the foundations of the DSS academic area. In their work, they introduced a framework for managerial decision-making su ...
KBS - teachmath1729
KBS - teachmath1729

... - No ambiguity in representation of the board ...
Towards Smart User Models for Open Environments
Towards Smart User Models for Open Environments

Lecture 10
Lecture 10

- Courses - University of California, Berkeley
- Courses - University of California, Berkeley

... (1) Domain Specific Partial Knowledge: Knowledge relevant to information to be extracted ...
Looking for Interesting Inconsistencies in Structured
Looking for Interesting Inconsistencies in Structured

... entities related in some way over a period of time. In many domains, stories will follow a stereotypical sequence. A criminal act for example may begin with the offence, continue through investigation, arrest, trial, through to conviction and possibly appeal. In some domains, the transition from sta ...
information-7217Rev[1]
information-7217Rev[1]

Natural Computation in Finance
Natural Computation in Finance

... –  Allows the uncovering of new information that was not present in either parent –  A simple mutation mechanism for real-valued genotypes could be the addition of a random draw from N(0, αi) to each element of each child solution •  Hence, most mutations are small with occasional larger mutation st ...
Cognitive Science: An Introduction to the Study of Mind
Cognitive Science: An Introduction to the Study of Mind

... have been developed within each discipline. But what is a theory of mind? We define it as a unique, organized set of ideas that teaches us how to think about the mind. We also describe models of mind. Whereas a theory is general and may not be tied to a particular process, a model is specific and de ...
click here
click here

... quality or cost effectiveness. Many problems which have been handled manually for a long time now exceed the capacity of a human problem solver. At the same time, humans are typically very good at solving these complex decision making problems. They can have a good understanding of the underlying pr ...
Executing clinical guidelines: temporal issues
Executing clinical guidelines: temporal issues

What Is Intelligent Design?
What Is Intelligent Design?

Relational Dynamic Bayesian Networks
Relational Dynamic Bayesian Networks

... In this section we show how to represent probabilistic dependencies in a dynamic relational domain by combining DBNs with first-order logic. We start by defining relational and dynamic relational domains in terms of first-order logic and then define relational dynamic Bayesian networks (RDBNs) which ...
Calc/Cream - Related Web Pages
Calc/Cream - Related Web Pages

... However, developing constraint programming applications is still a difficult task. It is important to provide a programming environment which is easy to use for constraint application developers. In this paper, we describe a constraint programming system with a spreadsheet front-end implemented on O ...
Artificial Consciousness
Artificial Consciousness

(IT) in Knowledge Management
(IT) in Knowledge Management

... Scan e-mail, documents, and databases to perform knowledge discovery, determine meaningful relationships and rules Identify patterns in data (usually through neural networks and other data mining techniques) Forecast future results by using data/knowledge Provide advice directly from knowledge by us ...
ITM-05-OO+Ontologies
ITM-05-OO+Ontologies

... • Validated guidelines on how the ontology building process should be structured • Well-organized process instead of „ontology development driven by inspiration and intuition only“ • Methodologies do not support all of the aforementioned activities • They implicitly assume a particular development p ...
Program  Share and  Design S. 19,
Program Share and Design S. 19,

... apparent in the final artifact. Viewed from a procedural perspective, a program consists of a set of roles connected by linear order; this is the way a serial computer views a program. Viewed from a functional perspective, a program consists of a set of actions connected by data and control flow dep ...
A Novel Bayesian Similarity Measure for Recommender Systems
A Novel Bayesian Similarity Measure for Recommender Systems

... New evidence for the Dirichlet distribution is often represented by a vector. Specifically, the rating pair (ru,k , rv,k ) can be represented by a vector γ = (γ1 , . . . , γn ) where only γi = 1 (where i is such that di = |ru,k − rv,k |) and the remaining entries equal zero. For example, a rating p ...
Blackwell Guide to the Philosophy of Computing and
Blackwell Guide to the Philosophy of Computing and

AI Armageddon and the Three Laws of Robotics
AI Armageddon and the Three Laws of Robotics

... brought it to life by putting a shem (a tablet with a Hebrew inscription) in its mouth. The golem eventually went awry, and Rabbi Loew had to destroy it by removing the shem. What has been brought to life here, so to speak, is the almost religious notion that there are some things that only God shou ...
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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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