
Humanoid Robots That Behave, Speak, and Think Like Humans: A
... mode). Note that TSMs are associated with each level of the HTD shown in Figure 2. Each TSM, at each level is activated by the TSM at a level above it. Each TSM consists of pattern recognition circuits that recognize TITwords and sentences, and thereby transmit them to another TSM-level either for f ...
... mode). Note that TSMs are associated with each level of the HTD shown in Figure 2. Each TSM, at each level is activated by the TSM at a level above it. Each TSM consists of pattern recognition circuits that recognize TITwords and sentences, and thereby transmit them to another TSM-level either for f ...
An Integrated Approach of Learning, Planning, and Execution
... of the environment refers to a mapping between perceived situations, performed actions, and expected new situations. This representation would be closer to the one used in reactive planners (Brooks, 1986), than to high-level models of the environment used by deliberative planners, such as the STRIPS ...
... of the environment refers to a mapping between perceived situations, performed actions, and expected new situations. This representation would be closer to the one used in reactive planners (Brooks, 1986), than to high-level models of the environment used by deliberative planners, such as the STRIPS ...
A Survey of Current Practice and Teaching of AI
... would like to teach. The survey suggested an apparent disparity between what is taught in many AI courses and what many AI colleagues would like to teach. We decided to study this issue by conducting surveys of both educators and practitioners. There have been at least two events in the past twenty ...
... would like to teach. The survey suggested an apparent disparity between what is taught in many AI courses and what many AI colleagues would like to teach. We decided to study this issue by conducting surveys of both educators and practitioners. There have been at least two events in the past twenty ...
Preference Handling – An Introductory Tutorial
... but that is about it. One can find various discussions in the literature as to when and whether total or weak orderings are appropriate (for an entry point, see, e.g., (Hansson, 2001b)), but this debate is mostly inconsequential from our perspective, and we make no commitment to one or the other. De ...
... but that is about it. One can find various discussions in the literature as to when and whether total or weak orderings are appropriate (for an entry point, see, e.g., (Hansson, 2001b)), but this debate is mostly inconsequential from our perspective, and we make no commitment to one or the other. De ...
Scalability_1.1
... Initially, each processor is assigned one of the numbers to be added and, at the end of the computation, one of the processors stores the sum of all the numbers. Assuming n = 16, Processors as well as numbers are labeled from 0 to 15. The sum of numbers with consecutive labels from i to j is denot ...
... Initially, each processor is assigned one of the numbers to be added and, at the end of the computation, one of the processors stores the sum of all the numbers. Assuming n = 16, Processors as well as numbers are labeled from 0 to 15. The sum of numbers with consecutive labels from i to j is denot ...
What are the chances… - Advocate Health Care
... Bayes’ Rule underlies reasoning systems in artificial intelligence, decision analysis, and everyday medical decision making we often know the probabilities on the right hand side of Bayes’ Rule and wish to estimate the probability on the left. ...
... Bayes’ Rule underlies reasoning systems in artificial intelligence, decision analysis, and everyday medical decision making we often know the probabilities on the right hand side of Bayes’ Rule and wish to estimate the probability on the left. ...
How Insurers Can Harness Artificial Intelligence
... enabling systems to learn, adapt and develop solutions to problems on their own. Various AI-related technologies, such as natural language processing (NLP), computer vision, robotics, machine learning and speech recognition, have substantially progressed over the years to coalesce into systems that ...
... enabling systems to learn, adapt and develop solutions to problems on their own. Various AI-related technologies, such as natural language processing (NLP), computer vision, robotics, machine learning and speech recognition, have substantially progressed over the years to coalesce into systems that ...
Planning Algorithms for Interactive Storytelling
... nonoptimal plans, however, may produce unintelligent characters, which is most undesirable. So while optimality is not a strict requirement for a planning algorithm in an IS system, algorithms that are “too nonoptimal” are best avoided. We emphasize that care must be taken when discussing optimality ...
... nonoptimal plans, however, may produce unintelligent characters, which is most undesirable. So while optimality is not a strict requirement for a planning algorithm in an IS system, algorithms that are “too nonoptimal” are best avoided. We emphasize that care must be taken when discussing optimality ...
The Unconscious Mind as a Means for Authentication - E
... or a few members of the individual’s IUP set. It is therefore crucial to choose an authentication task intended to measure IUPs that maximizes its stability and minimizes any temporal fluctuations. For example, let’s assume that it is viable to measure unconsciously motivated social judgments (i.e. ...
... or a few members of the individual’s IUP set. It is therefore crucial to choose an authentication task intended to measure IUPs that maximizes its stability and minimizes any temporal fluctuations. For example, let’s assume that it is viable to measure unconsciously motivated social judgments (i.e. ...
An Experimental Comparison of Numerical and Qualitative
... precise numerical probabilities. U sing qualitative probabilities could substantially reduce the effort for knowledge engineering and improve the robustness of results. We examine experimentally how well infinitesimal probabilities (the kappa-calculus of Goldszmidt and Pearl) perform a diagnostic ta ...
... precise numerical probabilities. U sing qualitative probabilities could substantially reduce the effort for knowledge engineering and improve the robustness of results. We examine experimentally how well infinitesimal probabilities (the kappa-calculus of Goldszmidt and Pearl) perform a diagnostic ta ...
6-up - SEAS
... To generate a sequence of n words given a 1st order Markov model (i.e. conditioned on one previous word): • Fix some ordering of the vocabulary v1 v2 v3 …vk. • Use unigram method to generate an initial word w1 • For each remaining wi , 2 ≤ i ≤ n —Choose a random value ri between 0 and 1 j ...
... To generate a sequence of n words given a 1st order Markov model (i.e. conditioned on one previous word): • Fix some ordering of the vocabulary v1 v2 v3 …vk. • Use unigram method to generate an initial word w1 • For each remaining wi , 2 ≤ i ≤ n —Choose a random value ri between 0 and 1 j ...
Induction of decision trees
... been found to construct simple decision trees, but the approach it uses cannot guarantee that better trees have not been overlooked. The basic structure of ID3 is iterative. A subset of the training set called the window is chosen at r a n d o m and a decision tree formed from it; this tree correctl ...
... been found to construct simple decision trees, but the approach it uses cannot guarantee that better trees have not been overlooked. The basic structure of ID3 is iterative. A subset of the training set called the window is chosen at r a n d o m and a decision tree formed from it; this tree correctl ...
EFFICIENCY OF LOCAL SEARCH WITH
... Second, we shall deal with the inverse problem which consists of estimating the number of local maxima from information deduced from the covering. Direct problem (section 4). One puts M points randomly in the search space. The question is the following: Given the statistical distribution of the rela ...
... Second, we shall deal with the inverse problem which consists of estimating the number of local maxima from information deduced from the covering. Direct problem (section 4). One puts M points randomly in the search space. The question is the following: Given the statistical distribution of the rela ...
Lebeltel2000
... application of the marginalization rule. The denominator appears to be a normalization term. Consequently, by convention, we will replace it by Σ . It is well known that general Bayesian inference is a very difficult problem, which may be practically intractable. Exact inference has been proved to b ...
... application of the marginalization rule. The denominator appears to be a normalization term. Consequently, by convention, we will replace it by Σ . It is well known that general Bayesian inference is a very difficult problem, which may be practically intractable. Exact inference has been proved to b ...
integrated security in cloud computing environment
... multi-tenancy, service availability, long-term viability, privileged user access and regulatory compliance. Multi-tenancy shows sharing of resources, services, storage and applications with other users, residing on same physical or logical platform at cloud provider’s premises. Defense-in-depth appr ...
... multi-tenancy, service availability, long-term viability, privileged user access and regulatory compliance. Multi-tenancy shows sharing of resources, services, storage and applications with other users, residing on same physical or logical platform at cloud provider’s premises. Defense-in-depth appr ...