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    fuzzy logic

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    EMBEDDED LEARNING ROBOT WITH FUZZY Q-LEARNING FOR OBSTACLE AVOIDANCE BEHAVIOR Khairul Anam1‚Prihastono2‚4‚Handy Wicaksono3‚4‚ Rusdhianto Effendi4‚ Indra Adji S5‚ Son Kuswadi5‚ Achmad Jazidie4‚ Mitsuji Sampei6 1 Department of Electrical Engineering‚ University of Jember‚ Jember‚ Indonesia (Tel : +62-0331-484977 ; E-mail: kh.anam.sk@gmail.com) 2 Department of Electrical Engineering‚ University of Bhayangkara‚ Surabaya‚ Indonesia (Tel : + 62-031-8285602; E-mail: prihtn@yahoo.com) 3 Department

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    Logic Gates

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    1. This situation has no carry bit in the output. In other words‚ the output itself is 1 bit. However‚ if we add 1+1‚ we get 10. This output is 2 bits long. This is a case where the carry-bit for the output is needed. A half adder consists of two logic gates. These are an AND gate‚ and an Exclusive OR gate. A diagram of a half adder is shown below. . Figure 1: Half Adder using XOR and AND gate. For the design of the half adder‚ do the following. 1) Create a new project in Quartus. Where it

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    Logic Model

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    Program: PEACE Domestic Violence Agency Work Plan / Logic Model Name: Lashundra Anderson Inputs Outputs Outcomes -- Impact Activities Participation Knowledge Actions Conditions 10 Computers 10 case managers 4000 sq. ft. space Life Coach 3 Therapist/ Counselors 2 Sex Education Teacher Mentoring sessions Mental Health Counseling Sexual Education Confidence building 100 participants for 50 sessions of one hour each per week for 3 months. 100 participants for 12

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    logic research

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    Logic Logic (from the Greek λογική‚ logike)[1] has two meanings: first‚ it describes the use of valid reasoning in some activity; second‚ it names the normative study of reasoning or a branch thereof.[2][3] In the latter sense‚ it features most prominently in the subjects of philosophy‚ mathematics‚ and computer science. Logic was studied in several ancient civilizations‚ including India‚[4] China‚[5] Persia and Greece. In the West‚ logic was established as a formal discipline by Aristotle‚ who

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    Fuzzy Logic

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    Overview The reasoning in fuzzy logic is similar to human reasoning. It allows for approximate values and inferences as well as incomplete or ambiguous data (fuzzy data) as opposed to only relying on crisp data (binary yes/no choices). Fuzzy logic is able to process incomplete data and provide approximate solutions to problems other methods find difficult to solve. Terminology used in fuzzy logic not used in other methods are: very high‚ increasing‚ somewhat decreased‚ reasonable and very low

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    Religion and Logic

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    Religion and Logic Make Human Being Instead of being incompatible with each other‚ religion‚ referring to human being’s thought about what a human being is and why‚ provides some perceptual knowledge to us while logic‚ referring to both the study of modes of reasoning (which are valid and which are fallacious) and the use of valid reasoning[1]‚ gives us rational view about what a human being is‚ thus‚ helping us to become more human being. Religion and logic are not incompatible. Analytically

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    Symbolic Logic

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    Mathematical logic From Wikipedia‚ the free encyclopedia Mathematical logic is a subfield of mathematics exploring the applications of formal logic to mathematics. Topically‚ mathematical logic bears close connections to metamathematics‚ the foundations of mathematics‚ and theoretical computer science.[1] The unifying themes in mathematical logic include the study of the expressive power of formal systems and the deductive power of formal proof systems. Mathematical logic is often divided into

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    Fuzzy Logic

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    IMSC 500 TERM PAPER FUZZY LOGIC How can a logic which is "fuzzy" be useful? As humans‚ we often rely on imprecise expressions like "usually"‚ "expensive"‚ or "far". But the comprehension of a computer is limited to a black-white‚ everything-or-nothing‚ or true-false mode of thinking. Within conventional logic‚ terms can be only "true" or "false" i.e. either 0 or 1. Fuzzy logic allows a generalization of conventional logic. It provides for terms between "true" and "false" like "almost true"

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    Fuzzy Logic

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    HAPTER S EVENTEEN FUZZY LOGIC Slumber not in the tents of your fathers. The world is advancing. Advance with it. —Giuseppe Mazzini Industrial Text & Video Company 1-800-752-8398 www.industrialtext.com SECTION 5 Advanced PLC Topics and Networks Fuzzy Logic CHAPTER 17 C HAPTER H IGHLIGHTS Fuzzy logic provides PLCs with the ability to make “reasoned” decisions about a process. In this chapter‚ we will introduce you to the basics of fuzzy logic‚ including fundamental concepts

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    Informal Logic

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    Week 5 Final Paper: “Should homosexuals be able to marry?” PHI 103: Informal Logic Instructor: January‚ 28‚ 2013 “Should homosexuals be able to marry?” In the United States marriage laws are not supposed to discriminate‚ yet many people believe that marriages are clear religious and official vows‚ between a man and woman‚ which include the ultimate expression of love. The traditional belief does not claim a specific sexual orientation for homosexuals in this country

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