![Learning-Based Planning](http://s1.studyres.com/store/data/003671143_1-3e96aafc3f24cd515e964333f129e0b8-300x300.png)
Learning-Based Planning
... Learning domain models in deterministic environments is a well-studied problem; diverse inductive learning techniques have been successfully applied to automatically define the actions schema from observations (Shen & Simon, 1989), (Benson, 1997), (Yang, Wu & Jiang, 2005), (Shahaf & Amir, 2006). In ...
... Learning domain models in deterministic environments is a well-studied problem; diverse inductive learning techniques have been successfully applied to automatically define the actions schema from observations (Shen & Simon, 1989), (Benson, 1997), (Yang, Wu & Jiang, 2005), (Shahaf & Amir, 2006). In ...
A distributed problem-solving approach to rule induction
... systems. It can be in the form of data exchange, knowledge transfer, or heuristics migration, where the learning mechanisms involved are relatively simple. It can also be done by extending machine learning techniques developed for single-agent systems, such as explanation-based learning, case-based ...
... systems. It can be in the form of data exchange, knowledge transfer, or heuristics migration, where the learning mechanisms involved are relatively simple. It can also be done by extending machine learning techniques developed for single-agent systems, such as explanation-based learning, case-based ...
the Future is Now - Machine Learning X
... “Computers are useless. They can only give you answers.” Pablo Picasso ...
... “Computers are useless. They can only give you answers.” Pablo Picasso ...
1994-Learning to Coordinate without Sharing Information
... the optimal sequence of actions always puts the block on the same x-position. Since the xdimension is the only dimension used to represent state, the agents update the same Q-value in their policy matrix in successive steps. We now calculate the number of updates required for the Q-value correspondi ...
... the optimal sequence of actions always puts the block on the same x-position. Since the xdimension is the only dimension used to represent state, the agents update the same Q-value in their policy matrix in successive steps. We now calculate the number of updates required for the Q-value correspondi ...
Building Behavior Trees from Observations in Real
... Engine2 , and CryEngine3 . BTs are hierarchical goal-oriented structures that appear somewhat similar to Hierarchical Task Networks (HTNs), but instead of being used to dynamically generate plans, BTs are static structures used to store and execute plans [4], [9]. This is a vital advantage for game ...
... Engine2 , and CryEngine3 . BTs are hierarchical goal-oriented structures that appear somewhat similar to Hierarchical Task Networks (HTNs), but instead of being used to dynamically generate plans, BTs are static structures used to store and execute plans [4], [9]. This is a vital advantage for game ...
Towards General AI: What we can learn from Human Learning
... Intelligent and Invisible Computing 23 ...
... Intelligent and Invisible Computing 23 ...
`3 stars for effort` – Designing pedagogic models for online learning
... resources. However, there is little guidance in the model as to how to proceed from one stage to another or what tools and methods may work well at each stage. In addition, for academic staff new to this kind of teaching there are still threats and challenges at each stage. For example, the first le ...
... resources. However, there is little guidance in the model as to how to proceed from one stage to another or what tools and methods may work well at each stage. In addition, for academic staff new to this kind of teaching there are still threats and challenges at each stage. For example, the first le ...
Learning Morphology by Itself1 - Mediterranean Morphology Meetings
... whether children grow up equipped with the same battery of knowledge biases. In other words: where does all these a priori assumptions on word structure come to a learner from? Can we identify some basic cognitive mechanisms that are primary and foundational in the ontogenetic development of languag ...
... whether children grow up equipped with the same battery of knowledge biases. In other words: where does all these a priori assumptions on word structure come to a learner from? Can we identify some basic cognitive mechanisms that are primary and foundational in the ontogenetic development of languag ...
A “Consciousness” Based Architecture for a Functioning Mind
... scenarios, partial plans of actions, and choosing between them. For example, suppose IDA is considering a sailor and several possible jobs, all seemingly suitable. She must construct a scenario for each of these possible billets. In each scenario the sailor leaves his or her current position during ...
... scenarios, partial plans of actions, and choosing between them. For example, suppose IDA is considering a sailor and several possible jobs, all seemingly suitable. She must construct a scenario for each of these possible billets. In each scenario the sailor leaves his or her current position during ...
Unsupervised feature learning from finite data by
... feature need not be carried out at the fixed point. Remarkably, the overlap improves at some α, revealing that the RBM could extract the hidden feature vector only after sufficient data are shown. This critical α decreases with the saliency β of the hidden feature. A statistical analysis of Eq. (3) ...
... feature need not be carried out at the fixed point. Remarkably, the overlap improves at some α, revealing that the RBM could extract the hidden feature vector only after sufficient data are shown. This critical α decreases with the saliency β of the hidden feature. A statistical analysis of Eq. (3) ...
Affective computing and HRI (HCI2007) 2x45min lecture
... – evaluates personal relevance of event (Scherer) and helps decisionmaking (Damasio), – fast reactions and action preparation (Frijda), – influence information processing and decision making (Damasio): • e.g, adaptation, attention, search. ...
... – evaluates personal relevance of event (Scherer) and helps decisionmaking (Damasio), – fast reactions and action preparation (Frijda), – influence information processing and decision making (Damasio): • e.g, adaptation, attention, search. ...
emotions, learning and control
... emotions in the working of the mind was analyzed from the psychological and neural perspective by Grossberg (1987) from the neuro-physiological perspective by Damasio (1995) and from the learning and control perspective by the author (Perlovsky 1998b, 1999). One reason for the engineering community ...
... emotions in the working of the mind was analyzed from the psychological and neural perspective by Grossberg (1987) from the neuro-physiological perspective by Damasio (1995) and from the learning and control perspective by the author (Perlovsky 1998b, 1999). One reason for the engineering community ...
THE BRITISH COMPUTER SOCIETY KNOWLEDGE BASED SYSTEMS THE BCS PROFESSIONAL EXAMINATIONS
... unstructured lists of rules (sometimes in natural language) without any narrative on how these would be used to solve the given problem. Alternatively, programming style code segments were included without relation to chaining; for instance, use of loops to search every rule will find the right one ...
... unstructured lists of rules (sometimes in natural language) without any narrative on how these would be used to solve the given problem. Alternatively, programming style code segments were included without relation to chaining; for instance, use of loops to search every rule will find the right one ...
Lecture Notes in Artificial Intelligence 4911
... newly emerging subfield known as statistical relational learning and probabilistic inductive logic programming. A major driving force is the explosive growth in the amount of heterogeneous data that is being collected in the business and scientific world. Example domains include bioinformatics, chem ...
... newly emerging subfield known as statistical relational learning and probabilistic inductive logic programming. A major driving force is the explosive growth in the amount of heterogeneous data that is being collected in the business and scientific world. Example domains include bioinformatics, chem ...
Understanding New Metaphors
... The italicized words in these examples are common English words with many polysemous senses. The theory predicts that the meanings of these words in the UNIX domain will be related to their other polysemous senses by one or more of the known regularities. The system was implemented and tested as a c ...
... The italicized words in these examples are common English words with many polysemous senses. The theory predicts that the meanings of these words in the UNIX domain will be related to their other polysemous senses by one or more of the known regularities. The system was implemented and tested as a c ...
Nathan and Sawyer Foundations of Learning Sciences
... environments, in addition to basic scientific research on learning (Kolodner, 1991). In this sense, LS embraces Stokes’ (1987) notion of “use-inspired basic research.” In its pursuits, LS research draws on a variety of theoretical perspectives on learning phenomena, as they occur across a broad rang ...
... environments, in addition to basic scientific research on learning (Kolodner, 1991). In this sense, LS embraces Stokes’ (1987) notion of “use-inspired basic research.” In its pursuits, LS research draws on a variety of theoretical perspectives on learning phenomena, as they occur across a broad rang ...
Prezentacja programu PowerPoint
... stage of reaction to particular external stimulus. At first the model of solution might be unknown, hence it should be build by the network in its process of learning, basing on so-called training information that it has obtained. Such approach causes many changes in way of designing and building AN ...
... stage of reaction to particular external stimulus. At first the model of solution might be unknown, hence it should be build by the network in its process of learning, basing on so-called training information that it has obtained. Such approach causes many changes in way of designing and building AN ...
Robotic tool use and problem solving based on
... actions are applied to a single object using another object held by the robot (i.e. an intermediate object, a tool), as depicted in Fig. 2 (top image). The BN of our approach explicitly models both primary (acted) and intermediate (held) objects, thus we can infer i) affordances of primary objects, ...
... actions are applied to a single object using another object held by the robot (i.e. an intermediate object, a tool), as depicted in Fig. 2 (top image). The BN of our approach explicitly models both primary (acted) and intermediate (held) objects, thus we can infer i) affordances of primary objects, ...
PDF file
... The human engineer writes a program that transforms input information into representations and follows human designed rules to control the robot. Segmented off-line sensory data may be used for learning, if the rules are so complex that some parameters cannot be determined by hand. 3) The robot runs ...
... The human engineer writes a program that transforms input information into representations and follows human designed rules to control the robot. Segmented off-line sensory data may be used for learning, if the rules are so complex that some parameters cannot be determined by hand. 3) The robot runs ...
Computational Intelligence Approaches for Student/Tutor
... recently gaining popularity. The data mining techniques too appear to be pairing well recently, the use of such techniques like machine learning; association rule mining is equally getting stronger in these aspects of student/tutor modeling. The use of agents is one of AI’s long term techniques so i ...
... recently gaining popularity. The data mining techniques too appear to be pairing well recently, the use of such techniques like machine learning; association rule mining is equally getting stronger in these aspects of student/tutor modeling. The use of agents is one of AI’s long term techniques so i ...
Artificial Intelligence and Economic Theory
... have resolved this problem in the following way. In some cases the correct evaluations can be found by performing depth first searches. In other cases, they use a batch of 900 master games, and simply define the moves played by these first-rate human players as the optimal or correct moves. 8 Now, b ...
... have resolved this problem in the following way. In some cases the correct evaluations can be found by performing depth first searches. In other cases, they use a batch of 900 master games, and simply define the moves played by these first-rate human players as the optimal or correct moves. 8 Now, b ...
Consolidation of motor memory
... addressed with an experiment in which subjects were trained with B1 on day one and then returned the next day to train again on B1 followed by B2. The degree of anterograde interference of B1 on B2 was not significantly different from the initial experiment. However, when B1 was retested on day thre ...
... addressed with an experiment in which subjects were trained with B1 on day one and then returned the next day to train again on B1 followed by B2. The degree of anterograde interference of B1 on B2 was not significantly different from the initial experiment. However, when B1 was retested on day thre ...
Sample pages 2 PDF
... Fig. 2.3 MindAgents and AtomSpace in OpenCog. This is a conceptual depiction of one way cognitive processes may interact in OpenCog—they may be wrapped in MindAgent objects, which interact via cooperatively acting on the AtomSpace ...
... Fig. 2.3 MindAgents and AtomSpace in OpenCog. This is a conceptual depiction of one way cognitive processes may interact in OpenCog—they may be wrapped in MindAgent objects, which interact via cooperatively acting on the AtomSpace ...
Designing CIspace: Pedagogy and Usability in a
... goals that inform the design of CIspace. (P1) Increase student understanding of the target domain. In the domain of AI this includes understanding of the mappings from abstract knowledge to graphical representations, as well as the various AI algorithms based on these mappings. (P2) Support differen ...
... goals that inform the design of CIspace. (P1) Increase student understanding of the target domain. In the domain of AI this includes understanding of the mappings from abstract knowledge to graphical representations, as well as the various AI algorithms based on these mappings. (P2) Support differen ...