Artificial Intelligence (AI). Neural Networks
... show The Bing Bang Theory? However, in many ways the AI is still not nearly as flexible or effective as the human one and most AI systems require explicit supervision for the specific task they perform. As Marvin Minsky (a prominent professor in AI from MIT) said in his recent interview: "There aren ...
... show The Bing Bang Theory? However, in many ways the AI is still not nearly as flexible or effective as the human one and most AI systems require explicit supervision for the specific task they perform. As Marvin Minsky (a prominent professor in AI from MIT) said in his recent interview: "There aren ...
Open resource
... improve our security posture. TACs are already more capable in some respects than humans, and, in the future, will likely be more advanced in all areas. The chart below shows our projections on machine capabilities, expressed relative to human capabilities over the next 20 years. These projections w ...
... improve our security posture. TACs are already more capable in some respects than humans, and, in the future, will likely be more advanced in all areas. The chart below shows our projections on machine capabilities, expressed relative to human capabilities over the next 20 years. These projections w ...
Deep Inference - Department of Computer Science
... to the formalisms, i.e., to the rules by which proof systems are designed. By doing so, we obtain a better proof theory than the traditional one due to Gentzen. In fact, in deep inference we can provide proof systems for more logics, in a more regular and modular way, with smaller proofs, less synta ...
... to the formalisms, i.e., to the rules by which proof systems are designed. By doing so, we obtain a better proof theory than the traditional one due to Gentzen. In fact, in deep inference we can provide proof systems for more logics, in a more regular and modular way, with smaller proofs, less synta ...
Perception Processing for General Intelligence
... to the above-cited references, and assuming basic knowledge of how both systems work. These two systems were not originally designed to work together, but we will describe a method for achieving their tight integration via 1. Modifying DeSTIN in several ways, so that ...
... to the above-cited references, and assuming basic knowledge of how both systems work. These two systems were not originally designed to work together, but we will describe a method for achieving their tight integration via 1. Modifying DeSTIN in several ways, so that ...
Machine Vision - Intelligent Systems Laboratory
... • CV is used to analyze scenes and compute symbolic representations from them. • AI: perception, cognition, action – Perception translates signals to symbols; – Cognition manipulates symbols; – Action translates symbols to signals that effect the world. E.G.M. Petrakis ...
... • CV is used to analyze scenes and compute symbolic representations from them. • AI: perception, cognition, action – Perception translates signals to symbols; – Cognition manipulates symbols; – Action translates symbols to signals that effect the world. E.G.M. Petrakis ...
Παρουσίαση του PowerPoint - Intelligent Systems Laboratory
... • CV is used to analyze scenes and compute symbolic representations from them. • AI: perception, cognition, action – Perception translates signals to symbols; – Cognition manipulates symbols; – Action translates symbols to signals that effect the world. E.G.M. Petrakis ...
... • CV is used to analyze scenes and compute symbolic representations from them. • AI: perception, cognition, action – Perception translates signals to symbols; – Cognition manipulates symbols; – Action translates symbols to signals that effect the world. E.G.M. Petrakis ...
Bebop to the Boolean Boogie
... particular digit depends both on the digit itself and on its position within the number. For example, a four in the right-hand column simply means four — in the next column it means forty — one more column over means four-hundred — then four thousand, and so on. Unfortunately, although base-ten syst ...
... particular digit depends both on the digit itself and on its position within the number. For example, a four in the right-hand column simply means four — in the next column it means forty — one more column over means four-hundred — then four thousand, and so on. Unfortunately, although base-ten syst ...
Exploiting Belief Locality in Run-Time Decision-Theoretic Planners
... Processes (POMDPs) have become a popular model for representing agent planning problems due to their ability to represent action and state uncertainty as well as cost and reward functions. Optimal approaches to solving POMDPs perform complete policy generation before execution and are extremely comp ...
... Processes (POMDPs) have become a popular model for representing agent planning problems due to their ability to represent action and state uncertainty as well as cost and reward functions. Optimal approaches to solving POMDPs perform complete policy generation before execution and are extremely comp ...
Information Gathering and Reward Exploitation of Subgoals for
... have emerged as a rich framework for planning under uncertainty due to their ability to capture a number of important planning aspects that appear in many real-world sequential decision tasks, such as the ability to handle stochastic actions, missing or noisy observations, and stochastic costs and r ...
... have emerged as a rich framework for planning under uncertainty due to their ability to capture a number of important planning aspects that appear in many real-world sequential decision tasks, such as the ability to handle stochastic actions, missing or noisy observations, and stochastic costs and r ...
Extending the Applications of Recent Real-time Heuristic Search
... and HCDPS. We observed that solutions in the non-videogame search spaces were considerably more suboptimal than those in video-game search spaces. 1 We also observed that suboptimality was not strongly predicted by search space size alone. Given the disparity in performance results among search spac ...
... and HCDPS. We observed that solutions in the non-videogame search spaces were considerably more suboptimal than those in video-game search spaces. 1 We also observed that suboptimality was not strongly predicted by search space size alone. Given the disparity in performance results among search spac ...
INTELLIGENT TECHNIQUES FOR E
... 1998], some important characteristics/methods to represent a CBR-based negotiation process are: active or passive agent method, single or multiple dimension modification, over- or under- specification of customer demands. The methods are explained here. Active agents explicitly suggest refinements/m ...
... 1998], some important characteristics/methods to represent a CBR-based negotiation process are: active or passive agent method, single or multiple dimension modification, over- or under- specification of customer demands. The methods are explained here. Active agents explicitly suggest refinements/m ...
Acquisition of Box Pushing by Direct-Vision
... neurons in each layer is 1540 in input layer, 100 in hidden layer, and 3 in output layer. The initial hiddenoutput connection weights are all 0.0, while inputhidden weights chosen randomly from -0.1 to 0.1. One of the outputs is used as critic after adding 0.5. A small reward 0.018 is given when two ...
... neurons in each layer is 1540 in input layer, 100 in hidden layer, and 3 in output layer. The initial hiddenoutput connection weights are all 0.0, while inputhidden weights chosen randomly from -0.1 to 0.1. One of the outputs is used as critic after adding 0.5. A small reward 0.018 is given when two ...
neuralnet: Training of neural networks
... and Ripley, 2002) and AMORE (Limas et al., 2007). nnet provides the opportunity to train feed-forward neural networks with traditional backpropagation and in AMORE, the TAO robust neural network algorithm is implemented. neuralnet was built to train neural networks in the context of regression analy ...
... and Ripley, 2002) and AMORE (Limas et al., 2007). nnet provides the opportunity to train feed-forward neural networks with traditional backpropagation and in AMORE, the TAO robust neural network algorithm is implemented. neuralnet was built to train neural networks in the context of regression analy ...
The Role of analogy in cognitive science
... nature, but can be more intangible. Some abstract constraints include a) similarity constraints which narrow the search to identical concepts, b) semantic similarity which gives preference to mappings that are semantically related and c) pragmatic constraints which prefer mappings which are relevant ...
... nature, but can be more intangible. Some abstract constraints include a) similarity constraints which narrow the search to identical concepts, b) semantic similarity which gives preference to mappings that are semantically related and c) pragmatic constraints which prefer mappings which are relevant ...
Modeling Others from Observations AAAI Press Papers from the AAAI Workshop
... AAAI maintains compilation copyright for this technical report and retains the right of first refusal to any publication (including electronic distribution) arising from this AAAI event. Please do not make any inquiries or arrangements for hardcopy or electronic publication of all or part of the pap ...
... AAAI maintains compilation copyright for this technical report and retains the right of first refusal to any publication (including electronic distribution) arising from this AAAI event. Please do not make any inquiries or arrangements for hardcopy or electronic publication of all or part of the pap ...
Interactive Learning and Analogical Chaining for Moral and
... SME can apply norms by analogy (Dehghani et al. 2009). Analogy is good for moral reasoning because morality is defined by the relationships between actors and events, not their features (e.g., the instrument of harm). MAC/FAC is a two-step model of analogical retrieval. MAC computes in parallel dot- ...
... SME can apply norms by analogy (Dehghani et al. 2009). Analogy is good for moral reasoning because morality is defined by the relationships between actors and events, not their features (e.g., the instrument of harm). MAC/FAC is a two-step model of analogical retrieval. MAC computes in parallel dot- ...
Problem Solving and Computers in a Learning Environment
... Modelling thinking, in the technical use of the term, refers to the translation of objects or phenomena from the real world into mathematical equations (mathematical models) or computer relations (simulation models). It is choosing an appropriate representation or modelling the relevant aspects of a ...
... Modelling thinking, in the technical use of the term, refers to the translation of objects or phenomena from the real world into mathematical equations (mathematical models) or computer relations (simulation models). It is choosing an appropriate representation or modelling the relevant aspects of a ...
USING BACKTRACKING TO SOLVE THE SCRAMBLE SQUARES
... ABSTRACT Constructing computer programs that solve problems (and puzzles) is central to the field of Artificial Intelligence (AI). In this paper we present an interesting puzzle and show how it can be solved using depth first search with backtracking. We feel this problem is well suited for undergra ...
... ABSTRACT Constructing computer programs that solve problems (and puzzles) is central to the field of Artificial Intelligence (AI). In this paper we present an interesting puzzle and show how it can be solved using depth first search with backtracking. We feel this problem is well suited for undergra ...
Some Problems
... then makes a right turn (90 degrees) and travels due east for 1 mile. He makes another right turn and travels dues south for 1 mile and finds himself precisely at the point he departed from, that is, back at his campsite. Where is the campsite located (or where on earth could such a sequence of even ...
... then makes a right turn (90 degrees) and travels due east for 1 mile. He makes another right turn and travels dues south for 1 mile and finds himself precisely at the point he departed from, that is, back at his campsite. Where is the campsite located (or where on earth could such a sequence of even ...
I-02-04-LaDuke-Knowledge 65-74 (18 Feb 08) SP FINAL
... Definitions of intelligence across disciplines proposed to date are both broad and varied. They include concepts like judgment, application, problem-solving, adaptation, cognition, goal-setting, physical capacities, analysis, environmental response, and pattern-recognition. Artificial intelligence i ...
... Definitions of intelligence across disciplines proposed to date are both broad and varied. They include concepts like judgment, application, problem-solving, adaptation, cognition, goal-setting, physical capacities, analysis, environmental response, and pattern-recognition. Artificial intelligence i ...
UniAGENT: Reduced Time-Expansion Graphs and Goal Pavel Surynek
... Cooperative Path Finding (CPF) The problem of cooperative path-finding (CPF) (Silver, 2005) is a graph theoretical abstraction for many real life problems where the task is to relocate cooperatively a group of agents or other movable objects in a collision free manner. Each agent of the group is giv ...
... Cooperative Path Finding (CPF) The problem of cooperative path-finding (CPF) (Silver, 2005) is a graph theoretical abstraction for many real life problems where the task is to relocate cooperatively a group of agents or other movable objects in a collision free manner. Each agent of the group is giv ...
Supporting Problem Solving in PBL - Purdue e-Pubs
... nature of the learners. Figure 1 illustrates external and internal factors that affect problem solving. As depicted in Figure 1, external factors that affect problem solving include the perspective, dynamicity, structure, difficulty, and context. Based on these differences, Jonassen (2000) suggested ...
... nature of the learners. Figure 1 illustrates external and internal factors that affect problem solving. As depicted in Figure 1, external factors that affect problem solving include the perspective, dynamicity, structure, difficulty, and context. Based on these differences, Jonassen (2000) suggested ...
A Bucket Elimination Approach for Determining Strong
... uncertainty will be able to satisfy all required constraints is by verifying its strong controllability, i.e., checking whether there is a precomputable assignment to the controllable variables that is robust to all possible outcomes of uncontrollable events. However, the algorithm for determining s ...
... uncertainty will be able to satisfy all required constraints is by verifying its strong controllability, i.e., checking whether there is a precomputable assignment to the controllable variables that is robust to all possible outcomes of uncontrollable events. However, the algorithm for determining s ...