Modeling Emotion as an Interaction between
... 2. Motivation in MicroPsi: Generating Relevance In my view, emotion cannot be modeled as an isolated component—it is always part of a larger cognitive architecture, including a motivational system that may attach relevance to cognitive content. Desires and fears, affective reflexes and mood changes ...
... 2. Motivation in MicroPsi: Generating Relevance In my view, emotion cannot be modeled as an isolated component—it is always part of a larger cognitive architecture, including a motivational system that may attach relevance to cognitive content. Desires and fears, affective reflexes and mood changes ...
Introduction to AI
... Logic, methods of reasoning, mind as physical system foundations of learning, language, rationality ...
... Logic, methods of reasoning, mind as physical system foundations of learning, language, rationality ...
document
... actions are appropriate for goals and circumstances to changing environments and goals learns from experience ...
... actions are appropriate for goals and circumstances to changing environments and goals learns from experience ...
Document
... Artificial Intelligence Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal. The term "artificial int ...
... Artificial Intelligence Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal. The term "artificial int ...
Introduction: What is AI?
... Critic: gives feedback to learning about success Problem generator: suggests actions to find new states ...
... Critic: gives feedback to learning about success Problem generator: suggests actions to find new states ...
How Bodies Matter to Minds - Action
... abstract qualities from the environment, which are recovered by internal representation. ...
... abstract qualities from the environment, which are recovered by internal representation. ...
The Cognitive Systems Paradigm
... in its emphasis on high-level cognition. People share basic capabilities for categorization and empirical learning with dogs and cats, but only humans can: • Understand and generate language • Solve novel and complex problems • Design and use complex artifacts • Reason about others’ mental states • ...
... in its emphasis on high-level cognition. People share basic capabilities for categorization and empirical learning with dogs and cats, but only humans can: • Understand and generate language • Solve novel and complex problems • Design and use complex artifacts • Reason about others’ mental states • ...
Document
... in its emphasis on high-level cognition. People share basic capabilities for categorization and empirical learning with dogs and cats, but only humans can: Understand and generate language Solve novel and complex problems Design and use complex artifacts Reason about others’ mental states ...
... in its emphasis on high-level cognition. People share basic capabilities for categorization and empirical learning with dogs and cats, but only humans can: Understand and generate language Solve novel and complex problems Design and use complex artifacts Reason about others’ mental states ...
Unit1_1 - คณะเทคโนโลยีสารสนเทศและการสื่อสาร มหาวิทยาลัยพะเยา
... environment via sensors and acts rationally upon that environment with its actuators. Hence, an agent gets percepts one at a time, and maps this percept sequence to actions. ...
... environment via sensors and acts rationally upon that environment with its actuators. Hence, an agent gets percepts one at a time, and maps this percept sequence to actions. ...
Axtell_CEEL1
... • Agents interact with one another and possibly with an environment (local/social interactions) • Agents are purposive (self-interested, satisficing, utility maximizing locally) • Aggregate structure emerges from agent interactions • Subsequent generations of agents emerge from the interactions of t ...
... • Agents interact with one another and possibly with an environment (local/social interactions) • Agents are purposive (self-interested, satisficing, utility maximizing locally) • Aggregate structure emerges from agent interactions • Subsequent generations of agents emerge from the interactions of t ...
What are Agent and Environment?
... What happens if do action A? What action I need to do? Effectors ...
... What happens if do action A? What action I need to do? Effectors ...
Ch_13
... Special-purpose solution relies on the circumstances that pertain to the task; General-purpose solutions: can be applied to a broad variety of problems: Means-ends analysis: the machine assesses the current state of the system and chooses an action that will reduce the difference between the current ...
... Special-purpose solution relies on the circumstances that pertain to the task; General-purpose solutions: can be applied to a broad variety of problems: Means-ends analysis: the machine assesses the current state of the system and chooses an action that will reduce the difference between the current ...
ltheories
... o Behaviorism- a term first used by John Watson, is a theory of animal and human learning that only focuses on objectively observable behaviors and discounts mental activities. ...
... o Behaviorism- a term first used by John Watson, is a theory of animal and human learning that only focuses on objectively observable behaviors and discounts mental activities. ...
Alan C. Schultz Director Navy Center for Applied
... My current research projects are focused on human-robot interaction, specifically, the use of computation cognitive models of certain human cognitive skills as reasoning components for intelligent robots. We believe that giving the system cognitive models can enhance the humansystem interface by all ...
... My current research projects are focused on human-robot interaction, specifically, the use of computation cognitive models of certain human cognitive skills as reasoning components for intelligent robots. We believe that giving the system cognitive models can enhance the humansystem interface by all ...
Context in distributed situated cognition Hedda Rahel Schmidtke Michael Beigl
... Abstract: Ambient Intelligence (AmI) can be understood as a research effort towards physical environments that can use artificial intelligence techniques, in order to serve people in an intelligent, pro-active manner. AmI environments provide a unique, novel platform for studying and applying concep ...
... Abstract: Ambient Intelligence (AmI) can be understood as a research effort towards physical environments that can use artificial intelligence techniques, in order to serve people in an intelligent, pro-active manner. AmI environments provide a unique, novel platform for studying and applying concep ...
m01-intro
... we seek the agent (or class of agents) with the best performance • Caveat: computational limitations make perfect rationality unachievable design best program for given machine resources ...
... we seek the agent (or class of agents) with the best performance • Caveat: computational limitations make perfect rationality unachievable design best program for given machine resources ...
A Modern, Agent-Oriented Approach to Introductory Artificial
... a least-squares polynomial fit to a set of data points. Webuild on this experience by explaining that all machine learning can be seen as learning the representation of a function. The least-squares method doesn’t work well in sparse multi-dimensionai domains, so we present a variety of methods that ...
... a least-squares polynomial fit to a set of data points. Webuild on this experience by explaining that all machine learning can be seen as learning the representation of a function. The least-squares method doesn’t work well in sparse multi-dimensionai domains, so we present a variety of methods that ...
Cognitive Science News
... nets. VLSI, Optical Computing, and practical issues for simulations and simulation tools. Algorithms and Architectures: Description and experimental evaluation of new net architectures or learning algorithms: data representations, static and dynamic nets, modularity, rapid training, learning pattern ...
... nets. VLSI, Optical Computing, and practical issues for simulations and simulation tools. Algorithms and Architectures: Description and experimental evaluation of new net architectures or learning algorithms: data representations, static and dynamic nets, modularity, rapid training, learning pattern ...
Four approaches to defining AI systems Cognitive science Rational
... An interdisciplinary field of study that combines AI and psychology ● It builds computer systems that simulate human mental processes, as a way of understanding how the human mind works ● Based on experimental investigation of humans (and animals) ...
... An interdisciplinary field of study that combines AI and psychology ● It builds computer systems that simulate human mental processes, as a way of understanding how the human mind works ● Based on experimental investigation of humans (and animals) ...
Artificial Intelligence
... AI has produced many significant and impressive products It is clear that computers with human-level intelligence would have huge impact on our everyday lives ...
... AI has produced many significant and impressive products It is clear that computers with human-level intelligence would have huge impact on our everyday lives ...
Artificial Intelligence
... – “how does the brain work” Cognitive science (behavior science) – “what is intelligence” Mechanically science (engineers) – “how do we build robots” Artificial Life (ecology) – “how do build lives” Adaptation (mathematic) – “how can a system learn” Rationality (economic) – “how should we act” ...
... – “how does the brain work” Cognitive science (behavior science) – “what is intelligence” Mechanically science (engineers) – “how do we build robots” Artificial Life (ecology) – “how do build lives” Adaptation (mathematic) – “how can a system learn” Rationality (economic) – “how should we act” ...