Adding Consciousness to Cognitive Architectures
... 11.12Grounding involves sensing, perception, grounding* and action 11.13Grounding and embodiment . . . . . . . . . . . . . . . . . . . 11.14Example of grounding and embodiment concepts in a mobile robotics application . . . . . . . . . . . . . . . . . . . . . . . . 11.15Representation of a hierarchy ...
... 11.12Grounding involves sensing, perception, grounding* and action 11.13Grounding and embodiment . . . . . . . . . . . . . . . . . . . 11.14Example of grounding and embodiment concepts in a mobile robotics application . . . . . . . . . . . . . . . . . . . . . . . . 11.15Representation of a hierarchy ...
Chapter Discussion Topics
... -need to keep presenting the milk without making it contingent on the response: VARIABLETIME STIMULUS PRESENTATION -In what condition do we use variable-time stimulus presentation? CONTROL CONDITION -thus, the only difference between the control and the experimental conditions is the contingency-bot ...
... -need to keep presenting the milk without making it contingent on the response: VARIABLETIME STIMULUS PRESENTATION -In what condition do we use variable-time stimulus presentation? CONTROL CONDITION -thus, the only difference between the control and the experimental conditions is the contingency-bot ...
Lot Size-Reorder Point System
... small relative to the magnitude of DDet； • When the predictable variation is more important than random variation; • When the problem is too complex to include an explicit representation of randomness in the model. ...
... small relative to the magnitude of DDet； • When the predictable variation is more important than random variation; • When the problem is too complex to include an explicit representation of randomness in the model. ...
Why Heideggerian AI Failed and how Fixing it would Require
... high-profile deserter from what was, indeed, becoming a degenerating research program. John Haugeland now refers to the symbolic AI of that period as Good Old Fashioned AI —GOFAI for short—and that name has been widely accepted as capturing its current status. Michael Wheeler argues explicitly that ...
... high-profile deserter from what was, indeed, becoming a degenerating research program. John Haugeland now refers to the symbolic AI of that period as Good Old Fashioned AI —GOFAI for short—and that name has been widely accepted as capturing its current status. Michael Wheeler argues explicitly that ...
Rich Text Format - (QRG), Northwestern University
... control knowledge can be learned through solving problems by identifying paths that lead to failure or success. Chunking (Laird, Rosenbloom and Newell, 1986), EBL (Dejong, 1986) and generating abstract plans (Knoblock, 1994) are strategies for automatically generating control knowledge through solvi ...
... control knowledge can be learned through solving problems by identifying paths that lead to failure or success. Chunking (Laird, Rosenbloom and Newell, 1986), EBL (Dejong, 1986) and generating abstract plans (Knoblock, 1994) are strategies for automatically generating control knowledge through solvi ...
Hierarchical Constraint Satisfaction in Spatial Database
... Hierarchical CSPs using R-trees • A set of variables v1,v2,v3…vn. • Domain di for variable vi is for level 0 : {xi,1,…… xi,ci} for level 1 to h-1:{Xi,1,…… Xi,ci} • For each pair of variables the binary constraint is for level 0 : Cij is a disjunction of topological relations as specified by the que ...
... Hierarchical CSPs using R-trees • A set of variables v1,v2,v3…vn. • Domain di for variable vi is for level 0 : {xi,1,…… xi,ci} for level 1 to h-1:{Xi,1,…… Xi,ci} • For each pair of variables the binary constraint is for level 0 : Cij is a disjunction of topological relations as specified by the que ...
Opponent interactions between serotonin and dopamine
... reporting positive excursions from a baseline (appetitive events), the other system reporting negative excursions (aversive events), and mutual inhibition between the systems and/or opposing effects on common outputs. From a physiological perspective, this neatly circumvents the absence of negative ...
... reporting positive excursions from a baseline (appetitive events), the other system reporting negative excursions (aversive events), and mutual inhibition between the systems and/or opposing effects on common outputs. From a physiological perspective, this neatly circumvents the absence of negative ...
context-based representation of intelligent behavior in training
... inputs rather easily when they are all in the normal or expected range. However, if one of these should deviate from normal, such as abnormal noise and vibrations, the officer will immediately focus only on these inputs in order to recognize the present situation as, for instance, a potential ground ...
... inputs rather easily when they are all in the normal or expected range. However, if one of these should deviate from normal, such as abnormal noise and vibrations, the officer will immediately focus only on these inputs in order to recognize the present situation as, for instance, a potential ground ...
LCP128 Dimming and Switching System SPEC (369646)
... • Reinforce wall structure as required for weight and local codes. • Do not mount panel directly to wall board/drywall. ...
... • Reinforce wall structure as required for weight and local codes. • Do not mount panel directly to wall board/drywall. ...
Lebeltel2000
... we present instances of behavior combinations, sensor fusion, hierarchical behavior composition, situation recognition and temporal sequencing. This series of experiments comprises the steps in the incremental development of a complex robot program. The advantages and drawbacks of this approach are ...
... we present instances of behavior combinations, sensor fusion, hierarchical behavior composition, situation recognition and temporal sequencing. This series of experiments comprises the steps in the incremental development of a complex robot program. The advantages and drawbacks of this approach are ...
The Disequilibrium Principle
... What Constitutes Reinforcement? • Many reinforcers satisfy biological needs, such as hunger. • Addictive behaviors don’t seem to give much pleasure to the addict (although they may be negatively reinforcing - done to avoid the unpleasant condition of not having access to the drug.) • Some reinforce ...
... What Constitutes Reinforcement? • Many reinforcers satisfy biological needs, such as hunger. • Addictive behaviors don’t seem to give much pleasure to the addict (although they may be negatively reinforcing - done to avoid the unpleasant condition of not having access to the drug.) • Some reinforce ...
An Introduction to Reinforcement Learning
... Learning Given S, A, γ, and the facility to follow a trajectory by sampling from T and R, how can we find an optimal policy π ∗ ? Various classes of learning methods exist. We will consider a simple one called Q-learning, which is a temporal difference learning algorithm. Let Q be our “guess” of ...
... Learning Given S, A, γ, and the facility to follow a trajectory by sampling from T and R, how can we find an optimal policy π ∗ ? Various classes of learning methods exist. We will consider a simple one called Q-learning, which is a temporal difference learning algorithm. Let Q be our “guess” of ...
Artificial Emotion Simulation Techniques for Intelligent Virtual
... with and 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 mann ...
... with and 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 mann ...
Slides
... “The cost function [...] is similar to that used by Flash and Hogan who showed human reaching trajectories appear to minimize the integral of the square of the norm of the jerk (the derivative of acceleration, kr = 3). In our system, since the inputs u2 and u3 appear as functions of the fourth deriv ...
... “The cost function [...] is similar to that used by Flash and Hogan who showed human reaching trajectories appear to minimize the integral of the square of the norm of the jerk (the derivative of acceleration, kr = 3). In our system, since the inputs u2 and u3 appear as functions of the fourth deriv ...
Reconciling simplicity and likelihood principles in perceptual
... input will be organized into the most probable distal object or event consistent with that input. The second, initiated by Wertheimer and developed by other Gestalt psychologists, advocates what Pomerantz and Kubovy (1986) call the simplicity principle: The perceptual system is viewed as finding the ...
... input will be organized into the most probable distal object or event consistent with that input. The second, initiated by Wertheimer and developed by other Gestalt psychologists, advocates what Pomerantz and Kubovy (1986) call the simplicity principle: The perceptual system is viewed as finding the ...
Reconciling Simplicity and Likelihood Principles in Perceptual
... simplicity and consistency with the input to be jointly optimized? The theoretical account of simplicity presented below suggests how these questions may be answered. There is, however, a further, and more subtle difficulty: What rules out the simplest possible, "null," perceptual organization? This ...
... simplicity and consistency with the input to be jointly optimized? The theoretical account of simplicity presented below suggests how these questions may be answered. There is, however, a further, and more subtle difficulty: What rules out the simplest possible, "null," perceptual organization? This ...
A Neural Network of Adaptively Timed Reinforcement
... 1.2 Timing the Balance between Exploration for Novel Rewards and Consummation of Expected Rewards The spectral timing model clarifies the following type of behavioral competence. Many goal objects may be delayed subsequent to the actions that elicit them, or the environmental events that signal thei ...
... 1.2 Timing the Balance between Exploration for Novel Rewards and Consummation of Expected Rewards The spectral timing model clarifies the following type of behavioral competence. Many goal objects may be delayed subsequent to the actions that elicit them, or the environmental events that signal thei ...
Intelligent Virtual Environments - A State-of-the
... VEs also allow experimentation with complex embodied agents without all the problems of dry joints, sticking wheels and limited battery time that often frustrate researchers in robotics. With less effort required to develop basic control architectures – often adapted directly from robotics – it beco ...
... VEs also allow experimentation with complex embodied agents without all the problems of dry joints, sticking wheels and limited battery time that often frustrate researchers in robotics. With less effort required to develop basic control architectures – often adapted directly from robotics – it beco ...
Hardware: Input, Processing, and Output Devices
... Build models of the real world Use models to make predictions Genetic Algorithms: Typically uses an existing model (Fitness Function) Searches for a good (or optimal) solution to the model. ...
... Build models of the real world Use models to make predictions Genetic Algorithms: Typically uses an existing model (Fitness Function) Searches for a good (or optimal) solution to the model. ...
Vincent C. Müller Is There A Future For AI Without Representation?
... apparatus in computing machinery – the aim of so-called “strong AI”. The impression that AI has tacitly abandoned its original aims is strengthened by the widespread belief that there are arguments which have shown a fundamental flaw in all present AI, particularly that its symbols do not refer or r ...
... apparatus in computing machinery – the aim of so-called “strong AI”. The impression that AI has tacitly abandoned its original aims is strengthened by the widespread belief that there are arguments which have shown a fundamental flaw in all present AI, particularly that its symbols do not refer or r ...
A Review of Case-Based Reasoning in Cognition
... representation” and “explicit representations and models of the world simply get in the way. It turns out to be better to use the world as its own model.” We conjecture that unification of symbolic and non-symbolic AI is conditioned on a reconciliation of the different views of representation, and w ...
... representation” and “explicit representations and models of the world simply get in the way. It turns out to be better to use the world as its own model.” We conjecture that unification of symbolic and non-symbolic AI is conditioned on a reconciliation of the different views of representation, and w ...
Example 1. Insufficiency of the optimality conditions
... found two solutions of this system that differed only in their signs. The question arises of whether this system has other solutions? It may seem that all possible situations have been analyzed. As follows from formula (1.4), the control may assume only two values depending on the sign of p. The con ...
... found two solutions of this system that differed only in their signs. The question arises of whether this system has other solutions? It may seem that all possible situations have been analyzed. As follows from formula (1.4), the control may assume only two values depending on the sign of p. The con ...
A Gentle Introduction to Soar, an Architecture for Human
... cognition. How can the expert contributions of all these fields be a problem? The problem arises not because of the regularities, but because of the theories. Each individual discipline really contributes what Newell called microtheories — small pieces of the big picture developed without the constr ...
... cognition. How can the expert contributions of all these fields be a problem? The problem arises not because of the regularities, but because of the theories. Each individual discipline really contributes what Newell called microtheories — small pieces of the big picture developed without the constr ...
I Agents, Bodies, Constraints, Dynamics, and Evolution Alan K. Mackworth
... them. It is a very tricky problem to control this kind of steerable robot. The path-planning problems have to be solved in real time. Of course, one is trying to solve a path-planning problem, as the ball is moving and the opponent is moving in order to get that ball; that is very tricky computation ...
... them. It is a very tricky problem to control this kind of steerable robot. The path-planning problems have to be solved in real time. Of course, one is trying to solve a path-planning problem, as the ball is moving and the opponent is moving in order to get that ball; that is very tricky computation ...