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Artificial Intelligence
Artificial Intelligence

... and cannot solve them by using traditional approaches, everyone who wants to understand the tremendous achievements in computer intelligence. The book will help to develop a practical understanding of what intelligent systems can and cannot do, discover which tools are most relevant for your task an ...
5 Batch Distillation - Vishwamitra Research Institute
5 Batch Distillation - Vishwamitra Research Institute

... This operating equation represents a line through the point yj(xj+1 = xD) with a slope of R/(R + 1). Starting from this point (xD,xD), which corresponds to the distillate composition, Equation 5.6 and the equilibrium curve between yj and xj can be recursively used from top plate 1 to the reboiler (t ...
Integrative Model of Rumination - Open Research Exeter
Integrative Model of Rumination - Open Research Exeter

... feeling sad, down, or depressed. Depressive ruminators report that rumination occurs without conscious intent, and that they are unable to control it (Watkins & Baracaia, 2001). A self-reported index of habitual negative thinking capturing frequency, lack of conscious awareness, lack of conscious in ...
10. Fuzzy Reasoning - Computing Science
10. Fuzzy Reasoning - Computing Science

... P(A) = 0.5 means that A may be true or may be false A logical value of 0.5 means both true and false at the same time. The difference is still ambiguous to many scholars. ...
teză de doctorat - AI-MAS
teză de doctorat - AI-MAS

... influences an agent architecture. The system also takes into account the effects that emotions have on human perception and cognitive processes. As an application domain, we chose virtual characters in computer role playing games (CRPGs) as they are a type of game meant to simulate all manner of hum ...
fulltext
fulltext

... trucks and buses. In this setting, the person that is troubleshooting a vehicle problem is assisted by a computer that is capable of listing possible faults that can explain the problem and gives recommendations of which actions to take in order to solve the problem such that the expected cost of re ...
Game World Implementation of Artificial Recognition
Game World Implementation of Artificial Recognition

Pardis, a Fuzzy Extension to Multi agent Simulation Systems
Pardis, a Fuzzy Extension to Multi agent Simulation Systems

... PIn a real soccer game, two teams of players play soccer against each other; each of the players receives an amount of sensory data from the environment, and in turn performs some actions that affect the environment. These are what practically any person could do, with the difference that a professi ...
Document
Document

... corresponds to Rule 1, receives inputs from neurons A1 and B1. In a neuro-fuzzy system, intersection can be implemented by the product operator. Thus, the output of neuron i in Layer 3 is obtained as: ...
The Implemetation of Interventions for Problem Behavior Based on
The Implemetation of Interventions for Problem Behavior Based on

... occurrence of precursor behavior to see if problem behavior occurred. The unconditional probability of both problem behavior and precursor behavior was calculated by dividing the total number of instances of each by the total number of opportunities to engage in each. To determine a correlation betw ...
Risks and Mitigation Strategies for Oracle AI
Risks and Mitigation Strategies for Oracle AI

... amounts of information stored on expanding hard drives (which follow their own Moore‟s Law (Walter, 2005)). So an AI would be able to think through every response thoroughly, carefully researching all relevant data, without any humansnoticeable slow-down. Software can not only be run faster with mor ...
Man to Machine, Applications in Electromyography
Man to Machine, Applications in Electromyography

... standardization, various styles developed and the discipline became an art as much as it was a science (De Luca, 1997).Efforts have been underway to standardize the EMG process, with considerable efforts in the past decade to implement standards which 1) formalize scientific understanding of the con ...
Necessary conditions on minimal system configuration for general
Necessary conditions on minimal system configuration for general

... a special case. Our necessary conditions are developed under the practically sensible assumption that only a finite set of extrema of the multivariate continuous function to be approximated is available. We have first revealed a decomposition property of the general fuzzy systems: A -input fuzzy sys ...
22.Horan
22.Horan

... recreational angling. Hoddle (2004) advocates greater consideration of bio-control to indirectly managing invasive species. Management of native species may also indirectly influence the impacts of an invader (Drury and Lodge under review). Indirect management tends to have (positive or negative) sp ...
Yuxing Chen`s Complete Thesis Booklet
Yuxing Chen`s Complete Thesis Booklet

... Swarm behavior is a collective behavior exhibited by animals of similar size which aggregate together. It can be applied to any other animal that exhibits swarm behavior. Swarm intelligence is the collective behavior of decentralized, self-organized systems, natural or artificial. The basic idea of ...
Enactive Artificial Intelligence
Enactive Artificial Intelligence

... they all generally agree on is that computational systems, as traditionally conceived by these authors, cannot account for the property of intentional agency. And without this property there is no sense in saying that these systems know what they are doing; they do not have any understanding of thei ...
Statistical Causal Inference
Statistical Causal Inference

... The semantics of a causal graph involve ideal manipulations and the changes in the probability distribution that follow such manipulations. Such an account is circular, because to manipulate is to cause. Our purpose, however, is not to provide a reductive definition of causation, but rather to conne ...
Artificial Societies of Intelligent Agents
Artificial Societies of Intelligent Agents

... are controlled only by reflex behaviours. We could say that in vertebrate animals, reflex behaviours are controlled at a medular level. We can see that there is no problem of action selection in the previous behaviour types, as it is in the following. Reactive behaviours would be the ones that depen ...
Norm-based deontic logic for access control, some
Norm-based deontic logic for access control, some

... used jointly, the former may only be applied one by one. It is well acknowledged in the deontic logic literature that permission cannot be used jointly [24]. As an illustration of such difference, imaging a situation in which a man is permitted to date either one of two girls, but not both of them. ...
Addressing Perceptions of Case-Based Reasoning
Addressing Perceptions of Case-Based Reasoning

... Many of our suggestions are similar to the excellent points made by Cohen (1991) in his discussion of AI, but they seem worth instantiating for the field of machine learning (Langley & Kibler, 1991 “Experimental Study of ML”) There are two ways in which the fields proceed. One is through the develop ...
Explanatory Variable/Error Term Independence Premise
Explanatory Variable/Error Term Independence Premise

... Estimation Procedures: Small and Large Sample Properties Explanatory variable/error term correlation creates a problem for the ordinary least squares (OLS) estimation procedure. Positive correlation causes upward bias and negative correlation causes downward bias. What can we do in these cases? Econ ...
Intelligence by Design - Department of Computer Science
Intelligence by Design - Department of Computer Science

... All intelligence relies on search — for example, the search for an intelligent agent’s next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right answer. In artificial agents, the primary source of bias is engineering. This dis ...
Intelligence by Design: Principles of Modularity and Coordination for
Intelligence by Design: Principles of Modularity and Coordination for

... All intelligence relies on search — for example, the search for an intelligent agent’s next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right answer. In artificial agents, the primary source of bias is engineering. This dis ...
Problemset Title Chapter 5 Quiz Introductory Text Question 1 Type
Problemset Title Chapter 5 Quiz Introductory Text Question 1 Type

... The line either climbs or goes down but never remains parallel to the ...
types of anticipatory behaving agents in artificial life
types of anticipatory behaving agents in artificial life

... processes. The inner process can either directly or indirectly influence the decision process. If it influences the decision indirectly then it needs some regulation system (once again take the example with the blood pressure). This regulation system is hardcoded within the organism and is not cons ...
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Perceptual control theory

Perceptual control theory (PCT) is a model of behavior based on the principles of negative feedback, but differing in important respects from engineering control theory. Results of PCT experiments have demonstrated that an organism controls neither its own behavior, nor external environmental variables, but rather its own perceptions of those variables. Actions are not controlled, they are varied so as to cancel the effects that unpredictable environmental disturbances would otherwise have on controlled perceptions. According to the standard catch-phrase of the field, ""behavior is the control of perception"". PCT demonstrates circular causation in a negative feedback loop closed through the environment. This fundamentally contradicts the classical notion of linear causation of behavior by stimuli, in which environmental stimuli are thought to cause behavioral responses, mediated (according to Cognitive Psychology) by intervening cognitive processes.Numerous computer simulations of specific behavioral situations demonstrate its efficacy, with extremely high correlations to observational data (0.95 or better), such as are routinely expected in physics and chemistry. While the adoption of PCT in the scientific community has not been widespread, it has been applied not only in experimental psychology and neuroscience, but also in sociology, linguistics, and a number of other fields, and has led to a method of psychotherapy called the Method of Levels.PCT has roots in insights of Claude Bernard and 20th century control systems engineering and cybernetics. It was originated as such, and given its present form and experimental methodology, by William T. Powers.
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