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The Cognitive Perspective
The Cognitive Perspective

... increased interest in how people process information. One of the factors that allowed this was advances in technology, in particular the development of the computer. The computer metaphor involves viewing the brain as being like a computer. One major assumption of AI is that both humans and some mac ...
Intro to AI
Intro to AI

... paper coupled with a program that illustrates the concepts. You may work on any area of AI that you find interesting, upon approval of the instructor; including (but not limited to) computer vision, learning, neural nets, genetic algorithms, intelligent tutoring systems, game AI, robotics, and so on ...
What is AI? Acting humanly: The Turing test Thinking humanly
What is AI? Acting humanly: The Turing test Thinking humanly

... This course is about designing rational agents Abstractly, an agent is a function from percept histories to actions: ...
Adaptive dynamical systems: A promising tool for embodied artificial
Adaptive dynamical systems: A promising tool for embodied artificial

... the corresponding evolution law (i.e. differential equation) in order to make it adaptive to a mechanical structure. The mechanical structure (body) and the adaptive frequency oscillator (controller) make up a simple adaptive locomotion system. This locomotion system is capable of adapting to changi ...
Studying Emotion and Interaction between Autonomous Cognitive Agents
Studying Emotion and Interaction between Autonomous Cognitive Agents

... isolation, the Psi theory directs its attention instead on the modulation of cognition by motivational and emotional processes and the resulting relationship of an individual to its environment, specifically with respect to affordances (Gibson, 1977). Thus, it is less interested in modeling problem ...
The Variety of Possible Architectures
The Variety of Possible Architectures

... Human Visual Processing  Human process photographs at a rate of one per second.  No known mechanism exists for human visual processing.  Reflection on a wide range of phenomena has led to a hypothesized architecture with a complex system. ...
paper in pdf - CWA.MDX Server Default page
paper in pdf - CWA.MDX Server Default page

... Passing the Turing test, understanding neural behaviour, understanding psychological behaviour, and developing useful Artificial Intelligence (AI) systems are all complex and interrelated problems. By a principled process of integrating models from these domains, it is hoped that steady progress wil ...
„POLITEHNICA” UNIVERSITY FROM TIMIŞOARA
„POLITEHNICA” UNIVERSITY FROM TIMIŞOARA

... utilize the various techniques in knowledge-based systems. Then, the cognitive processes (perception, memory, language and thought) are investigated. Finally, the main research approaches are presented that may lead to valid intelligent techniques suitable for various applications. Upon completion o ...
Artificial Intelligence
Artificial Intelligence

... Predicted that by 2000 a machine might have 30% chance of fooling a lay person for 5 minutes Anticipated all major arguments against AI in following 50 years. Suggested major components of AI: knowledge, reasoning, language, understanding, learning. Problem: Turing test is not reproducible, construc ...
Apr4
Apr4

... to more analytical thinking about how humans do.  Linguistics – behaviorist principles could not account for the complexities of language use. ...
Artificial Intelligence in an Agent
Artificial Intelligence in an Agent

... Artificial Intelligence in an AgentBased Model By John Walsh ...
Hvordan skrive en effektiv kravspesifikasjon
Hvordan skrive en effektiv kravspesifikasjon

... • Size • Complexity • Heterogeneity • Control • Change • Semantic ...
Acting Humanly: The Turing test
Acting Humanly: The Turing test

... - What level of abstraction? “knowledge” or “circuits”? - How to validate theories? Requires o Predicting and testing behavior of human subjects (top-down) o Or direct identification from neurological data (bottom-up) ...
The Experiment - Artificial Life Research – Czech Technical University
The Experiment - Artificial Life Research – Czech Technical University

... systems. Resulting systems are able to act in a very complex and dynamic environment and can incorporate various levels of intelligence. They are able to act in very different domains with small changes. They evoke the seeming of life, but they are a form of artificial life only. The implementation ...
A common mechanism underlying economic decision
A common mechanism underlying economic decision

... dynamical, ”drift-diffusion model” of how choices are formed over time, and use that model to illustrate common principles underlying both perceptual and economic choice. I will show that economic decisions are constrained by subjects’ imperfect knowledge of their own preferences, by their limited a ...
Topic List
Topic List

... Here is a list of topics from AAMAS, a top agent conference. It is not inclusive. Be sure that your topic (1) involves multiple agents (2) is not just a parallel solution (without agency). You are welcome to blend this assignment with other work you have to do, as long as it fits within the requirem ...
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Cognitive model

A cognitive model is an approximation to animal cognitive processes (predominantly human) for the purposes of comprehension and prediction. Cognitive models can be developed within or without a cognitive architecture, though the two are not always easily distinguishable.In contrast to cognitive architectures, cognitive models tend to be focused on a single cognitive phenomenon or process (e.g., list learning), how two or more processes interact (e.g., visual search and decision making), or to make behavioral predictions for a specific task or tool (e.g., how instituting a new software package will affect productivity). Cognitive architectures tend to be focused on the structural properties of the modeled system, and help constrain the development of cognitive models within the architecture. Likewise, model development helps to inform limitations and shortcomings of the architecture. Some of the most popular architectures for cognitive modeling include ACT-R and Soar.
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