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Towards a Methodology for Agent-based Social Simulation
Towards a Methodology for Agent-based Social Simulation

... often methodological issues, and more particularly, accounts of what did not work, are omitted from such reports, which focus more on successes and on results. The aim of this paper is therefore to begin to create a body of methodological advice, rooted in practical experience, that will be useful t ...
The intention-to-CAUSE bias: Evidence from children’s causal
The intention-to-CAUSE bias: Evidence from children’s causal

... representations provide insights into the types of biases that may emerge in children’s developing causal language. According to both theories, although later in development causal representations can be applied to all events, early in development a more limited class of events serves as the prototy ...
context-based representation of intelligent behavior in training
context-based representation of intelligent behavior in training

... Representing tactical knowledge is a difficult task due to the many potential variations of any particular scenario. A rule-based paradigm appears to be a natural way to represent tactical knowledge because it easily represents the heuristics involved in tactical behavior as IF-THEN rules. But the n ...
Creation/Evolution Graphics
Creation/Evolution Graphics

... evolutionary theory. All arguments, by definition, are characterized by taking one side while arguing against another side Arguments against a theory are about eliminating possible explanations. There is nothing inferior about this, in fact, it is deductive reasoning which is used by scientists all ...
A theoretical study of Y structures for causal discovery
A theoretical study of Y structures for causal discovery

... Furthermore, it is known that members of an independence (Markov) equivalence class of causal Bayesian network (CBN) models are indistinguishable using only probabilistic dependence and independence relationships among the observed variables. There are several algorithms for reliably identifying (so ...
Designing Web-Based Organizational Memory for Knowledge
Designing Web-Based Organizational Memory for Knowledge

... assistant to the user [1, 3, 22]. Actually, this intelligent assistant view of OM corresponds well with the shift of focus in AI. While an important AI goal has been to build knowledge-based systems that solve challenging problems on their own, an intelligent assistant system cooperates with a human ...
Cognition in Plants
Cognition in Plants

Diagrammatic Representation and Reasoning: Some Distinctions
Diagrammatic Representation and Reasoning: Some Distinctions

... seem to involve these properties. Motion is potentially part of all three: diagrams can use animation, and visual and spatial representations can involve sequences of images. There seems to be much more of a general agreement, at least on an intuitive level, on the notion of diagrammatic representat ...
Preference-Driven Querying of Inconsistent Relational Databases ⋆
Preference-Driven Querying of Inconsistent Relational Databases ⋆

... conflicting tuples. Also observe that a priority that cannot be extended further is total (i.e. all edges of the conflict graph are oriented). Preferred repairs In our work we investigate families of preferred repairs: subsets of repairs selected with priorities. For the clarity we adapt the followi ...
Dynamic domain splitting for numeric CSPs
Dynamic domain splitting for numeric CSPs

... In general, numeric csps cannot be tackled with computer algebra systems, and most numeric algorithms cannot guarantee correctness. The only numeric algorithms that may guarantee correctness – even when floating-point computations are used – are either coming from the interval analysis community or ...
Joanna J. Bryson - Department of Computer Science
Joanna J. Bryson - Department of Computer Science

... of Emergent Group-Level Traits”. Jekaterina Novikova, Leonn Watts and Joanna J. Bryson, “The Role of Emotions in Inter-Action Selection”, commentary on Faragó et al. “Social behaviours in dog-owner interactions can serve as a model for designing social robots”, Interaction Studies, 15(2):216–223. K ...
Guided Incremental Construction of Belief Networks
Guided Incremental Construction of Belief Networks

... repair spaceship). To reason with a lot of general knowledge—imagine a probabilistic knowledge base as large as Cyc! [11]—it helps to be able to work with a plausible subset. But if this subset is selected in advance, we cannot handle situations where implausible rules suddenly become plausible, fo ...
egpai 2016 - ECAI 2016
egpai 2016 - ECAI 2016

... Abstract. In our recent work on the measurement of (collective) intelligence, we used a dynamic intelligence test to measure and compare the performances of artificial agents. In this paper we give a detailed technical description of the testing framework, its design and implementation, showing how ...
Intelligent Software Environment for Integrated Expert Systems
Intelligent Software Environment for Integrated Expert Systems

... hardware system is often meant as the intelligent planning, but the term “intelligent planning”» has no clear definition. For example, the term “intelligent planning” is more commonly used in Russian literature [15], while “automated planning” is used in English [16]. However, in both cases the plan ...
Chapter 6 - Expert Systems and knowledge
Chapter 6 - Expert Systems and knowledge

... Goodall’s (1985) AI approach defines an expert system as a computer system that performs functions similar to those normally performed by a human expert. He extends this definition to include the nature of an expert system, in other words, he includes how ES behaves, in the technology approach: “An ...
Using human-machine dialogue to refine generalisation evaluation
Using human-machine dialogue to refine generalisation evaluation

... value. The overall generalisation is evaluated by aggregating all the constraint satisfaction values. If the computation of individual constraint satisfaction values is often well-managed, the definition of the aggregating function remains complex [19]. Indeed, it requires finding a good balance bet ...
Case-Based Plan Adaptation: An Analysis and Review
Case-Based Plan Adaptation: An Analysis and Review

... plans. The travel example of Figure 1 illustrates one such a plan that can be stored in the case. CBP systems that perform derivational adaptation include the derivational trace in addition to the plan itself. Examples are Prodigy/Analogy, CAPlan/CbC, and derSNLP. Dial’s memory search cases also fit ...
"Real-Time Systems: An Introduction and the State-of-the
"Real-Time Systems: An Introduction and the State-of-the

... designing system must be as minimal as possible. 2. Unit Cost: The cost of each unit must be minimal. 3. Size: The physical dimension of the system is limited by the environment in which it will be embedded. 4. Power: Because some embedded systems run on batteries, various power management schemes m ...
Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

On simplifying the automatic design of a fuzzy logic controller
On simplifying the automatic design of a fuzzy logic controller

... the genetic operators in a random way but based on the fitness of the structure:; to perform such tasks as selecting, copying, exchanging and perturbing portions of individuals to create new generations of individuals and eventually ,find the best individual representing the solution to the problem. ...
Knowledge Engineering: Principles and Methods
Knowledge Engineering: Principles and Methods

... Problem Solving Methods In [39] Clancey reported on the analysis of a set of first generation expert systems developed to solve different tasks. Though they were realized using different representation formalisms (e.g. production rules, frames, LISP), he discovered a common problem solving behaviou ...
GQR: A Fast Solver for Binary Qualitative Constraint Networks
GQR: A Fast Solver for Binary Qualitative Constraint Networks

... A (binary) constraint network is defined by a set of variables taking values in a given domain and a family of binary constraint relations between pairs of variables (on this domain). The constraint satisfaction problem is to determine for a given constraint network, whether there exists an assignme ...
Analyzing Impact of AI Tools on Traditional Workflow Systems
Analyzing Impact of AI Tools on Traditional Workflow Systems

... specifying different type of resources and different levels of structure in any organisation. Workflow Systems requires co-ordination between user and system to achieve desired goals in given time frame. This helps the components of system to transfer job or task in ...
AI Magazine - Winter 2014
AI Magazine - Winter 2014

... automation for space exploration is well known. Stringent communications constraints are present, including limited communication windows, long communication latencies, and limited bandwidth. Additionally, limited access and availability of operators, limited crew availability, system complexity, an ...
Get Smart: How Intelligent Technology will Enhance
Get Smart: How Intelligent Technology will Enhance

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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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