A Project on Gesture Recognition with Neural Networks for
... thus use search algorithms. Some games already use machine learning or planning algorithms. For example, “Black and White” uses a combination of inductive learning of decision trees and reinforcement learning with (artificial) neural networks, and “F.E.A.R” uses goal-oriented action planning. Thus, ...
... thus use search algorithms. Some games already use machine learning or planning algorithms. For example, “Black and White” uses a combination of inductive learning of decision trees and reinforcement learning with (artificial) neural networks, and “F.E.A.R” uses goal-oriented action planning. Thus, ...
Managing the Digital Firm
... In forward chaining, the system begins with known facts about the problem and goes through the rules in the knowledge base trying to assert new facts. Rules whose left-hand side (IF part or premise) is known to be true are fired, meaning their right-hand side (THEN part, or conclusion) is declared t ...
... In forward chaining, the system begins with known facts about the problem and goes through the rules in the knowledge base trying to assert new facts. Rules whose left-hand side (IF part or premise) is known to be true are fired, meaning their right-hand side (THEN part, or conclusion) is declared t ...
AAAI-17 Sponsor Inv-Cnt
... On behalf of the Conference Committee of the Thirty-First AAAI Conference on Artificial Intelligence, we invite you to participate in the sponsor program for AAAI-17. The conference will be held February 4-9, 2017 in San Francisco, California, USA, and is ...
... On behalf of the Conference Committee of the Thirty-First AAAI Conference on Artificial Intelligence, we invite you to participate in the sponsor program for AAAI-17. The conference will be held February 4-9, 2017 in San Francisco, California, USA, and is ...
Reformulation based MaxSAT robustness (Extended abstract)
... solution may be suboptimal, compared to a non-robust one. This fact has been sometimes called the price of robustness [2] but, in many real world situations, it is worth sacrificing some optimality for a stronger solution. In this paper we consider the unaddressed problem of seeking robust solutions ...
... solution may be suboptimal, compared to a non-robust one. This fact has been sometimes called the price of robustness [2] but, in many real world situations, it is worth sacrificing some optimality for a stronger solution. In this paper we consider the unaddressed problem of seeking robust solutions ...
The Symbol Grounding Problem Remains Unsolved
... inside the robot who doesn’t understand any Chinese, but who can deftly follow (à la a computer program) the rulebook and thereby give outside observers the impression that the robot understands Chinese.5 As Harnad puts it when summarizing the CRA for purposes of presenting SGP: Searle’s simple dem ...
... inside the robot who doesn’t understand any Chinese, but who can deftly follow (à la a computer program) the rulebook and thereby give outside observers the impression that the robot understands Chinese.5 As Harnad puts it when summarizing the CRA for purposes of presenting SGP: Searle’s simple dem ...
From: AAAI Technical Report FS-0 -0 . Compilation copyright © 200
... Copyright © 2002, AAAI Press The American Association for Artificial Intelligence 445 Burgess Drive Menlo Park, California 94025 ...
... Copyright © 2002, AAAI Press The American Association for Artificial Intelligence 445 Burgess Drive Menlo Park, California 94025 ...
9781111533960_PPT_ch13
... • In Baltimore County, an expert system was developed so that detectives could analyze information about burglary sites and identify possible suspects • Detectives could enter statements about burglaries, such as neighborhood characteristics, the type of property stolen, and the type of entry used; ...
... • In Baltimore County, an expert system was developed so that detectives could analyze information about burglary sites and identify possible suspects • Detectives could enter statements about burglaries, such as neighborhood characteristics, the type of property stolen, and the type of entry used; ...
High-Performance Computing for Systems of Spiking Neurons
... neuron. There are some rather sketchy and limited descriptions of how these components are interconnected and how they behave in natural networks, and there is rather better information about their macro-level modular organisation and gross activity. The weakest part of the neuroscientists’ analysis ...
... neuron. There are some rather sketchy and limited descriptions of how these components are interconnected and how they behave in natural networks, and there is rather better information about their macro-level modular organisation and gross activity. The weakest part of the neuroscientists’ analysis ...
Sequence Learning: From Recognition and Prediction to
... the evaluation function so that e(x) is closer to r + γe(y), where 0 < γ < 1 is a discount factor. At the same time, we might also update the action policy to strengthen or weaken the tendency to perform a, according to the error in evaluating the state: r + γe(y) − e(x). That is, if the action impr ...
... the evaluation function so that e(x) is closer to r + γe(y), where 0 < γ < 1 is a discount factor. At the same time, we might also update the action policy to strengthen or weaken the tendency to perform a, according to the error in evaluating the state: r + γe(y) − e(x). That is, if the action impr ...
Informational Recursiveness Against Singularity
... seeking and striving followers, supporters and enthusiasts. WAI and SAI became simultaneously also the challenge for the development of organic (biological) intelligence, shifting the borders from the weak to the strong intelligent state of consciousness, its less or more developed efficiencies of s ...
... seeking and striving followers, supporters and enthusiasts. WAI and SAI became simultaneously also the challenge for the development of organic (biological) intelligence, shifting the borders from the weak to the strong intelligent state of consciousness, its less or more developed efficiencies of s ...
Practical Reasoning: An Opinionated Survey.
... done. He takes a bus to a stop near the stockbroker’s downtown address, gets off the bus, locates the building and enters it. He finds a bank of elevators, and sees that the stockbroker is on the 22nd floor. This man has a strong dislike for elevators, and is not feeling particularly energetic that ...
... done. He takes a bus to a stop near the stockbroker’s downtown address, gets off the bus, locates the building and enters it. He finds a bank of elevators, and sees that the stockbroker is on the 22nd floor. This man has a strong dislike for elevators, and is not feeling particularly energetic that ...
ni.uni-osnabrueck.de - Cognitive Science
... of general intelligence (GI) and creativity have both been rigorously defined to everyone’s satisfaction, my title has no fixed, univocal meaning in the absence of how to understand ‘Require’. Suppose that we understand this term to align with deductive entailment. Then our question, massaged to ref ...
... of general intelligence (GI) and creativity have both been rigorously defined to everyone’s satisfaction, my title has no fixed, univocal meaning in the absence of how to understand ‘Require’. Suppose that we understand this term to align with deductive entailment. Then our question, massaged to ref ...
+ p - Fizyka UMK
... Bioinformatics: sophisticated similarity functions for sequences. Dynamic programming finds similarities in reasonable time. Use adaptive costs and general framework for SBM methods. ...
... Bioinformatics: sophisticated similarity functions for sequences. Dynamic programming finds similarities in reasonable time. Use adaptive costs and general framework for SBM methods. ...
AAAI Proceedings Template
... with general problem-solving ability rather than agents that would tightly fit a small set of previously-seen problems. By the end of project 3, students had completed an agent that could solve 2x1, 2x2, and 3x3 visual analogy problems based on propositional input. In project 4, students designed an ...
... with general problem-solving ability rather than agents that would tightly fit a small set of previously-seen problems. By the end of project 3, students had completed an agent that could solve 2x1, 2x2, and 3x3 visual analogy problems based on propositional input. In project 4, students designed an ...
Agent Computing and Situation Aware
... real world objects. For example, there is a symbolic computation for an infinite ordinal, by an infinite sequence of successor operations on 0. Furthermore, the present notion of der Vielliecht Vorhandenen is not intend to be the sense in which a robot cannot reach a particular object. The intent i ...
... real world objects. For example, there is a symbolic computation for an infinite ordinal, by an infinite sequence of successor operations on 0. Furthermore, the present notion of der Vielliecht Vorhandenen is not intend to be the sense in which a robot cannot reach a particular object. The intent i ...
A Taxonomy of Artificial Intelligence Approaches for Adaptive
... ronment and the related states because it needs to know which states the actions will lead to. On the other hand, a Q-learning agent can compare expected utilities for available choices without knowing the outcomes. However, Q-learning agents cannot look ahead, which can restrict the ability to lear ...
... ronment and the related states because it needs to know which states the actions will lead to. On the other hand, a Q-learning agent can compare expected utilities for available choices without knowing the outcomes. However, Q-learning agents cannot look ahead, which can restrict the ability to lear ...
Chapter 9: Information, Decision Support, Artificial Intelligence, and
... Act like or simulate the functioning of a human brain Features of neural networks Ability to retrieve information Fast modification of stored data Ability to discover relationships and trends in large ...
... Act like or simulate the functioning of a human brain Features of neural networks Ability to retrieve information Fast modification of stored data Ability to discover relationships and trends in large ...
Curriculum Vitae - People.csail.mit.edu
... Postdoctoral Associate, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, USA Feb. - Nov. 2007 With advisor Leslie Pack Kaelbling, developing a modern cognitive architecture. The driving application in mind is to develop software-based s ...
... Postdoctoral Associate, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, USA Feb. - Nov. 2007 With advisor Leslie Pack Kaelbling, developing a modern cognitive architecture. The driving application in mind is to develop software-based s ...
Massively Multi-Author Research and Innovation
... promises a revolution. Compared with the mammalian brain, today’s computers are terribly inefficient and wasteful of energy, with the number of computing operations per unit energy of the best man-made machines being in the order of ~0.01% of the human brain depending on the workload. This inefficie ...
... promises a revolution. Compared with the mammalian brain, today’s computers are terribly inefficient and wasteful of energy, with the number of computing operations per unit energy of the best man-made machines being in the order of ~0.01% of the human brain depending on the workload. This inefficie ...
Claims and Challenges in Evaluating Human
... • Performance includes measures such as solution time, quality of solution, and whether or not a solution is found. These are the standard metrics used in evaluating AI systems. One must careful when using CPU time because of variation in the underlying hardware. Usually solution time will be in som ...
... • Performance includes measures such as solution time, quality of solution, and whether or not a solution is found. These are the standard metrics used in evaluating AI systems. One must careful when using CPU time because of variation in the underlying hardware. Usually solution time will be in som ...
CH08_withFigures
... interconnectivity—each neuron is connected to every other neuron – The output of each neuron may depend on its previous values – One use of Hopfield networks: Solving constrained optimization problems, such as the classic traveling salesman problem (TSP) ...
... interconnectivity—each neuron is connected to every other neuron – The output of each neuron may depend on its previous values – One use of Hopfield networks: Solving constrained optimization problems, such as the classic traveling salesman problem (TSP) ...