By Klaus Ambos-Spies, Jürgen Kämper (auth.), Egon Börger, Hans Kleine Büning, Michael M. Richter (eds.)
This quantity includes the papers which have been awarded on the moment workshop "Computer technology good judgment" held in Duisburg, FRG, October 3-7, 1988. those lawsuits disguise quite a lot of subject matters either from theoretical and utilized components of desktop technological know-how. extra in particular, the papers take care of difficulties bobbing up on the border of common sense and laptop technology: e.g. in complexity, information base thought, good judgment programming, synthetic intelligence, and concurrency. the quantity can be of curiosity to all logicians and desktop scientists operating within the above fields.
Read Online or Download CSL '88: 2nd Workshop on Computer Science Logic Duisburg, FRG, October 3–7, 1988 Proceedings PDF
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Extra resources for CSL '88: 2nd Workshop on Computer Science Logic Duisburg, FRG, October 3–7, 1988 Proceedings
In other words, the function of IHDR is Primed actions are the possible actions in each state. The probability to take each primed action is based on its Q-value. The primed sensation predicts what will be the actual sensation if the corresponding primed action is taken. The motivational system 20 Xiao Huang and Juyang Weng works as an action selection function denotes all the possible subsets of which chooses an action from a list of primed actions. Novelty is measured by the difference between primed sensation and actual sensation.
The robot would stare at the stimulus for a while. Then, the temperature increases. The probabilities of each action became similar and the robot began to choose other actions and explore more states. 1) again, the action with larger Q-value would have more chance to be taken. 26 Xiao Huang and Juyang Weng Fig. 5. Boltzmann Softmax Exploration: The total probability is 1. The probabilities of action 0, 1, 2 are plotted at the top, middle and bottom, respectively. The star denotes the random value received at that time.
6° for tilt-angle. 3 Recognition of Pointing Gestures When modeling pointing gestures, we try to model the typical motion pattern of pointing gestures - and not only the static posture of a person during the peak of the gesture. We decompose the gesture into three distinct phases and model each phase with a dedicated HMM. The features used as the models’ input are derived from tracking the position of the pointing hand as well as position and orientation of the head. 1 Phase Models When looking at a person performing pointing gestures, one can identify three different phases in the movement of the pointing hand: Begin (B): The hand moves from an arbitrary starting position towards the pointing target.
CSL '88: 2nd Workshop on Computer Science Logic Duisburg, FRG, October 3–7, 1988 Proceedings by Klaus Ambos-Spies, Jürgen Kämper (auth.), Egon Börger, Hans Kleine Büning, Michael M. Richter (eds.)