Maritime transportation is the backbone of global trading. More than 80% of global product distribution are using ship (United Nations Conference on Trade and Development‚ 2015). Therefore‚ it has several advantages compared to land and air distribution. Compared to air transportation‚ maritime transportation is more efficient in terms of cost and quantity. Maritime transportation also can cover sea and have inter-island connected which are cannot be done by maritime transportation. Indonesia‚ which
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Research on computational scientific discovery aims to develop computer systems which produce results that‚ if a scientist did the same‚ we would refer to as discoveries. Of course‚ if we hope to develop computational methods for scientific discovery‚ we must be more specific about the nature of such discoveries and how they relate to the broader context of the scientific enterprise. The term science refers both to scientific knowledge and the process of acquiring such knowledge. It involves any
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This figure assumes that the main reference set‚ covers the indicated circle of sections A‚ B‚ C. The solution 1 is created from a convex combination of reference solutions A‚ B that is added to the reference set as the only solution. In a similar way‚ combining of convex and non-convex reference of new and original solutions are created points 2‚ 3 and 4. The complete reference set are including 7 solutions (members) that is shown in the figure above. In genetic algorithm‚ two solutions are selected
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How do people make judgements and decisions? Decision and judgment-making are normal human activities and people make a high number of these every day‚ so you could assume that psychologists have been studying this area for many years but it wasn’t until the 1950’s that psychologists began their exploration into this subject. Behaviourism set the belief that psychology should be scientific and objective and should observe similar criteria to the natural sciences. The mathematicians and economists
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STIN1013 INTRODUCTION TO ARTIFICIAL INTELLIGENCE Semester February Session 2012/2013 (A122) ASSIGNMENT_4 PROBLEM SOLVING AND SEARCHING Total marks: Deadline: Terms and Condition: 10 27th May 2013 1. Submission This is a group assignment. Each group must submit only ONE (1) answer script. Answers must be in computer-typed form; it only needs to be stapled on its top left without any plastic cover on it. 2. Assessment Assessment will be based on the submitted script. All members of the group will
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Artificial Intelligence Question for reviews 1. What is knowledge? Why experts usually have detailed knowledge of a limited area of a specific domain. What do we mean by heuristic? Knowledge is something theoretical or practical understanding the subject‚ which can include facts‚ information‚ descriptions or skills. Knowledge is the sum of what is currently known. 2. What is a production rule? Give an example and define two basic parts of the production rule. Production rule is a mechanism
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the same as Working backwards‚ but different in the aspect of seeing the answer and finding the means it took to make it to that answer. 2 "However‚ even without the ordering of differences according to importance‚ MEA improves over other search heuristics (again in the average case) by focusing the problem solving on the actual differences between the current state and that of the goal." This meaning that one looks at the problem‚ and the solution then can figure out the difference between them and
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RESEARCH METHODOLOGY The criteria for the M.A. thesis in the M.A. Counseling Psychology program is stated on page 20 as follows: Within the context of the Institute’s guiding vision‚ students are encouraged to select a particular topic that they wish to explore in depth. Towards this end‚ the student is asked: 1. To pursue an area of individual interest relevant to the issues of counseling psychology (e.g.‚ therapeutic issues‚ psychological motifs‚ clinical procedures). 2. To ground this
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Abraham Oklahoma State University‚ Stillwater‚ OK‚ USA 1 Problem Solving Using Heuristics 2 What are Rule-based Systems? 3 Inference Engine in Rule-based Systems 4 Expert System Development 5 Fuzzy Expert Systems 6 Modeling Fuzzy Expert Systems 7 Illustration of Fuzzy Expert System Design 8 Adaptation of Fuzzy Inference Systems 9 Summary References 909 910 911 911 912 914 914 918 918 919 1 PROBLEM SOLVING USING HEURISTICS A general introduction to artificial intelligence methods of measurement signal
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Table of contents Chapter No. 1. 2. 3. 4. Topics Introduction 1.1 Origin of Ant Colony Optimization 1.2 Towards Artificial Ants 1.3 ACO Metahueristic 1.4 Applying ACO to TSP 1.4.1 Detailed implementation of TSP with ACO 1.5 Ant System and Successors 1.5.1 Elitist Ant System 1.5.2 Rank Based Ant System 1.5.3 Max-Min Ant System 1.5.3 Ant Colony System Literature survey Further scope References 1 Page No. 4 5-7 7-9 9-10 10-11 11-14 14 14-15 15-16 16-18 18-19
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