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173 CSC Midterm Examination October 25th, 2005 Total: 75 points This is a closed book, closed notes exam. There are a total of 75 points. There is also an additional 5 points of extra credit (as part of your choice in question 5). In all cases, explain how you arrived at your answer. An answer without an explanation will not be considered valid. I have tried to make the questions unambiguous. If you are not sure what a question is asking, make some reasonable assumption and write that assumption down next to your answer. The TA has been instructed not to try to explain questions during the exam. 1. [24 points] Consider the following database consisting of student, course, and grade relations: Table 1 student relation sid sname advisor 1 alpha dwarkadas 2 beta hemaspaandra 3 gamma scott 4 delta allen Table 2 cno 173 252 286 254 290A course relation instructor dwarkadas ding hemaspaandra scott allen sid 1 1 2 3 4 4 cno 173 254 173 173 173 290A Table 3 grade relation cname formal systems prog. lang. des. & impl. formal systems formal systems formal systems dialogue modeling grade A B B C B A (a) What is the relation (attributes and tuples) obtained by performing a natural join on the course and grade relations? (b) What is the relation obtained by projecting the grade relation onto the grade attribute (what are the tuples)? (c) How would you implement each of the relations (what data structure would you choose and what attribute/s would you use to organize the tuples in the data structure in each case)? Explain your answer. (d) What is the relational algebra query you would supply to this database to determine the names of students who take a course from their advisor (for this one, I m interested in the query, not in the result (or answer) of the query)? (e) How would you optimize the query above (what is the optimized query)? Explain your optimization. (f) This database could be better designed. How would you redesign the database to eliminate redundancy while avoiding loss of information? 2. [10 points] Consider the following C code to delete an item in a singly-linked list (each line of code has been numbered for easy reference): 1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: 15: 16: 17: 18: 19: 20: 21: 22: 23: 24: 25: 26: 27: 28: 29: 30: 31: 32: 33: 34: struct node { int datum; struct node *next; } struct node *mylist_head = NULL; int del( int data, struct node **head) { struct node *temp = *head; struct node *prev = *head; while (temp) { if (temp->datum == data) { if (temp == *head) list_head = temp->next; else prev->next = temp->next; return(1); } else { prev = temp; temp = temp->next; } } return(0); } main() { ... del(25, mylist_head); } You may assume that prior to the call to del, nodes have been (via added dynamic allocation) to mylist head, and in particular, that a node containing the datum 25 has been added. Please indicate exactly where you would make modi cations in the code for the following: (a) This code has a problem (in that it may not do what you expect). What is the problem and how would you x it? (b) This code also has an additional problem in terms of a memory leak in the del function. How would you x it? 3. [15 points] For the regular expression b(a | b) a (a) Construct an NFA using Thompson s construction algorithm. (b) Convert the NFA to a DFA using the subset construction algorithm. (c) Minimize the DFA (or show that your resulting DFA is minimal) using the partitioning algorithm. 4. [16 points] (a) Your systems administrator has declared that a good password must have at least 3 characters, at least one of them must not be a letter (i.e., at least one character must be a digit or a special character), and at least one of them must be a letter. Construct an NFA (could be a DFA) that recognizes good passwords using the following character classes (which de ne the complete alphabet): letter (a | b | c | ... | z | A | B | C | ... | Z) digit (0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9) special ($ | | #) Don t forget to mark the starting and accepting state(s). You DO NOT have to show construction steps and need not use the regular expression to build the NFA. (b) Write the regular expression for the following language: all strings of 0 s and 1 s that do not contain 2 consecutive 1 s. 5. [10 points] Answer 2 of the following 3 questions. You may do the third question for extra credit, but you should clearly indicate which you want counted as extra credit. Otherwise, the last question answered in the bluebook (from beginning to end) will be considered the extra credit. (a) [5 points] Show that the following context-free grammar (in which E is the start symbol and the only non-terminal, and id, +, (, and ) are terminal symbols) is ambiguous. E --> | | | + E E (E) id (id) (b) [5 points] Write a regular expression that accepts the same language as the following context-free grammar (once again, E is the start symbol and the only non-terminal symbol, and id, op, and num are terminal symbols): E --> E op E | id | num (c) [5 points] We are given an NFA N built from regular expression R that accepts string and does not accept string . A new epsilon transition is added between some two states in N to give a new NFA N ewN . Select exactly one among the list of choices in UPPERCASE letters in each item below and explain your answer in each case. i. N ewN [WILL / MAY OR MAY NOT / WILL NOT] accept . ii. N ewN [WILL / MAY OR MAY NOT / WILL NOT] accept .
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Rochester >> CSC >> 458 (Fall, 2009)
What is and Why Concurrency? What is a concurrent program? One with more than one active execution context (thread of control) Programming Models Standard models of parallelism shared memory (Pthreads) message passing (MPI) data parallel (Fort...
Rochester >> CSC >> 258 (Fall, 2009)
Why Threads Cant be a library - and - The Java Memory Model CS 458 28 February 2007 Matt Post CSPicture@ University of Rochester 28 February 2006 Matt Post Big 2/458 @ University of Rochester 20 October 2007 Review Memory consistency models A...
Rochester >> ECO >> 510 (Fall, 2009)
An Exploration of the Forward Premium Puzzle in Currency Markets Ravi Bansal Duke University A standard empirical nding is that expected changes in exchange rates and interest rate differentials across countries are negatively related, implying that...
Rochester >> ECO >> 108 (Fall, 2009)
ECONOMICS 108 FINAL EXAM with ANSWERS Fall, 1997 There are 120 points on this exam, allocated as marked in parentheses after each problem. You have 3 hours. Print Name_ Sign Name__ ID Number_ Page 2_ Page 3_ Page 4_ Page 5_ Page 6_ Page 7...
Rochester >> ECO >> 108 (Fall, 2009)
ECONOMICS 108, Fall, 1998 Second Midterm Professor Stockman There are 100 points on this exam. You have 55 minutes. Answers 1. Comment: \"A seller has an incentive to make its product fall apart quickly so that people have to replace it, raising d...
Rochester >> ECO >> 108 (Fall, 2009)
Is America Number 1? Study Guide Introduction Who\'s Number 1? What does it mean to be Number 1? You might say that your school football team is Number 1, meaning that the team usually beats other teams in its league. A Number 1 hit song sells the mo...
Rochester >> ECO >> 217 (Fall, 2009)
ECO217 Homework 2 Suggested Answers PROBLEM 2.1 Consider three risky assets. The expected returns (in %) on those are: The variance-covariance matrix is For convenience you are also given the inverse variance-covariance matrix: a) Find the express...
Rochester >> ECO >> 217 (Fall, 2009)
Lecture 9 The Arbitrage Pricing Theory, APT AIM OF LECTURE 9 Introduce the main arguments behind the APT. Learn how to form risk-free arbitrage portfolios. Understand how non-arbitrage arguments can pin down the structure of expected returns. Show ho...
Rochester >> ECO >> 217 (Fall, 2009)
Lecture 10 Empirical Applications of the Capital Asset Pricing Model AIM OF LECTURE 10 Formulate different tests of the CAPM Become familiar with the literature testing the CAPM Form an understanding of the problems involved in empirical testing of t...
Rochester >> ECO >> 217 (Fall, 2009)
Lecture 11 Empirical Applications of the Arbitrage Pricing Theory AIM OF LECTURE 11 Formulate different tests of the APT Become familiar with the literature testing the APT Form an understanding of the problems involved in empirical testing of the AP...
Rochester >> ECO >> 217 (Fall, 2009)
Lecture 12 Introduction to Options AIM OF LECTURE 12 Learn the terminology of options Learn how to use payoff diagrams Introduce to Put-Call Parity 12.1 WHAT IS AN OPTION? An option is a contract (a financial contract) between two parties. We refer ...
Rochester >> ECO >> 217 (Fall, 2009)
ECO217 FINANCIAL MARKETS: THEORIES & EVIDENCE Spring 2002 Time: Place: Instructor: Mondays and Wednesdays, 2pm to 3.15pm Dewey 2110D Thomas Renstrm Wallis Institute of Political Economy 110 Harkness Hall tel: 275-6834 e-mail: rnsm@troi.cc.rochester...
Rochester >> ECO >> 217 (Fall, 2009)
Lecture 7 The Capital Asset Pricing Model AIM OF LECTURE 7 Derive the Capital Asset Pricing Model (CAPM) Become familiar with Fund-Separation results 7.1 OVERVIEW We will derive the (standard) Capital Asset Pricing Model (CAPM) through Mean-Variance...
Rochester >> ECO >> 217 (Fall, 2009)
Lecture 8 Relaxing the assumptions: Zero-Beta CAPM, Taxation, and Borrowing-Lending constraints AIM OF LECTURE 8 Relax some of the assumptions underlying the Capital Asset Pricing Model (CAPM) 8.1 ZERO-BETA CAPM Why no risk-free asset? - inflation u...
Rochester >> ECO >> 217 (Fall, 2009)
Lecture 6 The Investment Opportunity Set AIM OF LECTURE 6 Derive the Investment Opportunity Set Illustrate investment decisions of individuals 6.1 DERIVING THE INVESTMENT OPPORTUNITY SET In the last lecture we found the portfolios that give the mini...
Rochester >> ECO >> 217 (Fall, 2009)
Lecture 13 Introduction to Continuous-Time Finance and Option Pricing AIM OF LECTURE 13 Become familiar with some continuous-time finance Learn how to form hedge portfolios with options Gain understanding of how a no-arbitrage argument underlies the ...
Rochester >> ECO >> 217 (Fall, 2009)
Financial Markets: Theories and Evidence 1 ECO217 Revision Lecture 2 R2.1 RELAXING ASSUMPTIONS UNDERLYING THE CAPM No risk-free borrowing/lending The zero-beta CAPM [Black (1972)]. E[Rj] - E[Rz] = j.(E[Rm] - E[Rz]) where j COV(Rj,Rm)/VAR(Rm)...
Rochester >> ECO >> 217 (Fall, 2009)
Lecture 3 Choice Under Uncertainty: Risk and Insurance Premia AIM OF LECTURE 3 Introduce the concept of risk aversion Provide measures of risk aversion Introducing the risk premium Solve for the Markowitz risk premium and analyze its components Intro...
Rochester >> ECO >> 217 (Fall, 2009)
Lecture 2 Return, Risk and Choice Under Uncertainty AIM OF LECTURE 2 Calculate return and risk of portfolios using matrix algebra Revise portfolio formation in the context of short sales Revise expected utility and provide a numerical example Show th...
Rochester >> ECO >> 217 (Fall, 2009)
ECO217 Example of Final Examination for Financial Markets: Theories and Evidence INSTRUCTIONS Answer four questions of your choice (of the five below). Write your name clearly on all answer booklets. Pocket calculator is allowed. Formulae attached at...
Rochester >> ECO >> 217 (Fall, 2009)
Lecture 5 The Efficient Frontier and MeanVariance Efficient Portfolios AIM OF LECTURE 5 Derive the Frontier Portfolios Analyse the properties of Frontier Portfolios 5.1 DERIVING THE FRONTIER PORTFOLIOS In the last lecture we formulated the optimisat...
Rochester >> ECO >> 217 (Fall, 2009)
Lecture 4 Introduction to Mean-Variance Efficient Portfolios AIM OF LECTURE 4 Introduce the intuitive idea behind efficient portfolios Formulate the optimisation problem in order to find efficient portfolios Learn how to differentiate with respect to...
Rochester >> ECO >> 217 (Fall, 2009)
ECO217 Answer to Sample Question 3 Question 3 (20%) Answer True or False (T or F ) T F (a) Two-fund separation is obtained only if there is a risk-free asset. (b) One-fund separation is obtained if returns are identically independently distributed. ...
Rochester >> ECO >> 217 (Fall, 2009)
Recitation 1 Return, Risk and Choice Under Uncertainty INSTRUCTIONS Make an attempt to solve the problems below (you need not to hand in your answers). The TA will go through the problems in the recitation. You are expected to actively participate an...
Rochester >> ECO >> 217 (Fall, 2009)
Financial Markets: Theories and Evidence 1 ECO217 Revision Lecture R.1 INTRODUCTION Course is about financial economics (pricing of risky assets) Three components: 1. 2. 3. Preferences (utility) Portfolios (the set of efficient portfolios is like a ...
Rochester >> ECO >> 217 (Fall, 2009)
Homework 2 Mean-Variance Efficient Portfolios INSTRUCTIONS 1. Solve the Problem 2.1 below (a-d), carefully showing your steps. 2. Hand in your work in the Class on Wednesday, March 20. 3. Your work will be marked and returned to you in respective rec...
Rochester >> ECO >> 217 (Fall, 2009)
ECO217 Sample Questions for Financial Markets: Theories and Evidence AIM OF QUESTIONS These questions give you an idea of the level, structure and type of questions you may expect on the midterm examination (you will have to answer all three question...
Rochester >> ECO >> 217 (Fall, 2009)
ECO217 Suggestion of Topics for Writing Credit INSTRUCTIONS Choose a topic and search for relevant literature. Produce an outline of your essay. Type your essay (5-10 pages), and hand it in on April 22. Prepare a presentation of your essay (10-15min)...
Rochester >> ECO >> 217 (Fall, 2009)
Homework 1 Return, Risk and Choice Under Uncertainty INSTRUCTIONS 1. Solve the two problems below (taken from Lecture 2), carefully showing your steps. 2. Hand in your work in the Class on Wednesday, February 6. 3. Your work will be marked and return...
Rochester >> ECO >> 217 (Fall, 2009)
ECO217 Answer to Question 5A in Example of Final Examination Question 5 A Calculate the theoretical price of the a call option to buy one share. The current share price is 70, the exercise price is 65 and the annual risk free rate is 6%. The option m...
Rochester >> ECO >> 217 (Fall, 2009)
Lecture 1 Return, Risk and Choice Under Uncertainty AIM OF LECTURE 1 Introduction of return and risk Calculate return and risk of portfolios Introduce matrix notation 1.1 NOTATION AND DEFINITIONS USED IN THIS COURSE Notation U( )= utility function (...
Rochester >> SOSP >> 2003 (Fall, 2009)
SIGOPS General chair Michael L. Scott U. of Rochester scott@cs.rochester.edu Program chair Larry Peterson Princeton University llp@cs.princeton.edu Program Committee Brian Bershad Washington Ken Birman Cornell Peter Druschel Rice Dawson Engler Stanfo...
Rochester >> CSC >> 248 (Fall, 2009)
Context Free Grammars So far we have looked at models of language that capture only local phenomena, namely what we can analyze when looking at only a small window of words in a sentence. To move towards more sophisticated applications that require s...
Rochester >> CSC >> 248 (Fall, 2009)
Lecture 16: Applications Using Ordered Alignment Models Many of the problems we have seen so far can be seen as the translation of some source stream of data into a target stream. For instance, in part of speech tagging we have a source stream of wor...
Rochester >> CS >> 247 (Fall, 2009)
p ut s {p z s t n Xoirdv9dvom p u u u ivtrFV%$~Cg$gg$Fx u 5g$Fy`g~0x p t s i!Vd%\"t5v~t4tx t t u z u VgVT\"gVgy`d43x u x p u %vgV zt x ...
Rochester >> CS >> 242 (Fall, 2009)
Comprehensive Final Exam Answers with FFQ(TM) Feature. CSC 242 May 2004 Write your NAME legibly on the bluebook. Work all problems. Best strategy is not to spend more than the indicated time on any question (minutes = points). There are 120 points. O...
Rochester >> CS >> 242 (Fall, 2009)
b\"8Y2d |dp bdFdd |ee(2xebx bbx2dbxbYQYx|F22pbb\"b x\"sqY2pdek2gb3bdYbxebYYFYdYYeDYbYbebex0d @H82Qb d2b...
Rochester >> CS >> 242 (Fall, 2009)
Second Midterm CSC 242 10 May 2002 Write your NAME legibly on the bluebook. Work all problems. Best strategy is not to spend more than the indicated time on any question (minutes = points). Open book, open notes. 1. Grammar: 30 mins. We all remember:...
Rochester >> CS >> 242 (Fall, 2009)
Midterm CSC 242 3 March 2005 Write your NAME legibly on the bluebook. Work all problems. You may use three double-sided pages of notes. Please hand your notes in with your bluebook. The best strategy is not to spend more than the indicated time on an...
Rochester >> CS >> 242 (Fall, 2009)
Midterm CSC 242 March 2006 Write your NAME legibly on the bluebook. Work all problems. You may use two double-sided pages of notes. Please hand your notes in with your bluebook. The best strategy is not to spend more than the indicated time on any qu...
Rochester >> CS >> 242 (Fall, 2009)
Success Facilitation Survey: Unit 1. CSC 242 May 2004 Write your NAME legibly on this paper. Open book, open notes. Youre in a startup company working on a shortest-time algorithm for driving in Rochester to bundle with a global positioning system. W...
Rochester >> CS >> 242 (Fall, 2009)
Midterm Answers New, Improved, and Including the Postmortem FFQ Feature [look for square brackets] CSC 242 18 March 2002 Write your NAME legibly on the bluebook. Work all problems. Best strategy is not to spend more than the indicated time on any que...
Rochester >> CS >> 242 (Fall, 2009)
Final with Answers and FFQ (tm) CSC 242 9 May 2003 Write your NAME legibly on the bluebook. Work all problems. Best strategy is not to spend more than the indicated time on any question (minutes = points). Open book, open notes. 1. Bayes Nets: 15 Min...
Rochester >> CS >> 242 (Fall, 2009)
Clustering and Classication Chris Brown April 7, 2005 1 Explanation This is actually an assignment from the computer vision class. It sort of shows what a possible classication project would be like, and it has a tutorial about clustering techniqu...
Rochester >> CS >> 242 (Fall, 2009)
Midterm Answers, with FFQ(TM) feature CSC 242 March 2007 Write your NAME legibly on the bluebook. Work all problems. You may use two double-sided pages of notes. Please hand your notes in with your bluebook. The best strategy is not to spend more tha...
Rochester >> CS >> 242 (Fall, 2009)
CSC 242 Written Assignment #1 Knowledge Representation Using Logic Spring 1999 Answer all four questions below. Due date is MARCH 4th. 1. (25 points) Consider the following sentences: a. b. c. d. 2. John likes all kinds of food Apples are fo...
Rochester >> CS >> 242 (Fall, 2009)
Final CSC 242 5 May 2000 Write your NAME legibly on the bluebook. Work all problems. Best strategy is not to spend more than the indicated time on any question (minutes = points, total of 140). Open book, open notes. Note to Instructor: use of book m...
Rochester >> CS >> 242 (Fall, 2009)
2nd Midterm Exam CSC 242 6 May 2005 Write your NAME legibly on the bluebook. Work all problems. You may use three double-sided pages of notes. Please hand your notes in with your bluebook. The best strategy is not to spend more than the indicated tim...
Rochester >> CS >> 242 (Fall, 2009)
Midterm with Answers and FFQ (tm) CSC 242 6 March 2003 Write your NAME legibly on the bluebook. Work all problems. Best strategy is not to spend more than the indicated time on any question (minutes = points). Open book, open notes. 1. Search: 5 Min....
Rochester >> CS >> 242 (Fall, 2009)
Mabel Extending Human Interaction and Robot Rescue Designs Thomas Kollar, Jonathan Schmid, Eric Meisner, Micha Elsner, Diana Calarese, Chikita Purav, Jenine Turner, Dasun Peramunage, Gautam Altekar, and Victoria Sweetser Advised by Dr. Chris Brown De...
Rochester >> CS >> 242 (Fall, 2009)
Jess: AProductionSystemLanguage 4.209AgentBasedVirtualWorlds MaryLouMaherMITFall2002 JessKnowledgeBase A rule-based system maintains a collection of knowledge nuggets called facts. This collection is known as the knowledge base. It is somewhat a...
Rochester >> CS >> 242 (Fall, 2009)
Second Midterm CSC 242 May 2008 Write your NAME legibly on the bluebook. Work all problems. You may use two double-sided pages of notes. Please hand your notes in with your bluebook. The best strategy is not to spend more than the indicated time on a...
Rochester >> CS >> 242 (Fall, 2009)
Optical Character Segmentation and Recognition from a Rochester Flag Thomas Kollar and Jonathan Schmid 05/07/02 Abstract This project investigated segmentation and recognition of characters from a Rochester Flag as visual behaviors for landmark reco...
Rochester >> CS >> 242 (Fall, 2009)
Creating a Computer Cop An Integrated Approach to Recognizing Human Eating Activity Peter Barnum, Dominic Marino, Evan Merz, Matt Pelmear, and Dasun Peramunage Under Randall Nelson University of Rochester May 2003 Abstract Food damage causes untold d...
Rochester >> CS >> 242 (Fall, 2009)
Artificial Intelligence in Games: A look at the smarts behind Lionhead Studios Black and White and where it can and will go in the future James Wexler University of Rochester Rochester, NY 14627 jw005i@mail.rochester.edu Keywords: artificial intell...
Rochester >> CS >> 242 (Fall, 2009)
Practical applications of Philosophy in Artificial Intelligence Karim Oussayef Among the sciences, Artificial Intelligence holds a special attraction for philosophers. A.I. involves using computers to solve problems that seem to require human reason...
Rochester >> CS >> 242 (Fall, 2009)
Intelligent Autonomous Agents in Quake David Ganzhorn, William de Beaumont University of Rochester February 27th, 2004 Abstract For several weeks we researched and developed agents that interact with Quake2UR, a version of Quake2 that has been modifi...
Rochester >> CS >> 242 (Fall, 2009)
Adressing CML by Using Line Detection Techniques for More Reliable Sonar Information. Eric M. Meisner, CSC 242Term Project University of Rochester 2003 Abstract The purpose of this paper will be to describe a method for performing concurrent mapping...
Rochester >> CS >> 242 (Fall, 2009)
Kiana Ross CS242 3.23.00 UCPOP: ANALYSIS There are several aspects of partial order planners that are interesting and worth considering. The following paper will examine these aspects as they pertain to UCPOP. This paper will consider three domains: ...
Rochester >> CS >> 242 (Fall, 2009)
A Poker Player Chris Brown The University of Rochester Computer Science Department Rochester, New York 14627 Technical Report January 2006 Abstract This Texas Hold Em client relies on enumerations and probabilities. As parameters, it uses many funct...
Rochester >> CS >> 242 (Fall, 2009)
Artificial Intelligence Beating Human Opponents in Poker Stephen Bozak University of Rochester Independent Research Project May 08, 2006 Abstract In the popular Poker game, Texas HoldEm, there are never more than three moves an agent can make. Howev...
Rochester >> CS >> 242 (Fall, 2009)
Q-Learning and Collection Agents Tom O\'Neill Leland Aldridge Harry Glaser CSC242, Dept. of Computer Science, University of Rochester {toneill, hglaser, la002k}@mail.rochester.edu Abstract Reinforcement learning strategies allow for the creation ...
Rochester >> CS >> 242 (Fall, 2009)
Charles Balconi cbalconi@cs.rochester.edu CSC242 Term Project Due: 5/7/03 A Study of Methods Used to Solve NP Hard Optimization Problems Overview: Many optimization algorithms have been implemented to provide solutions to computationally hard probl...
Rochester >> CS >> 242 (Fall, 2009)
CS 242 Final Project: Reinforcement Learning Albert Robinson May 7, 2002 Introduction Reinforcement learning is an area of machine learning in which an agent learns by interacting with its environment. In particular, reward signals are provided to ...
Rochester >> CS >> 242 (Fall, 2009)
Alexander Wang and Corey Proscia CSC 242: Vision, May 8, 2006 Chart Supplement to Write-Up Chart Notes Color is required to view the charts properly! The normalized scale in Chart 2 is different from all other normalized scales. This is because the...
Rochester >> LEARNING >> 242 (Fall, 2009)
Quagent control via Passive and Active Learning Computer Science 242: Artificial Intelligence March 5, 2004 Rob Van Dam and Greg Briggs Abstract: Artificial intelligence algorithms using passive and active learning versions of direct utility estimat...
Rochester >> LEARNING >> 242 (Fall, 2009)
Learning Algorithms and Quake David Ganzhorn, William de Beaumont University of Rochester March 19th, 2004 Abstract We experimented with implementing various classic learning algorithms. We implemented value iteration and modified policy iteration, a...
Rochester >> CS >> 242 (Fall, 2009)
The Applicability of Uninformed and Informed Searches to Maze Traversal Computer Science 242: Artificial Intelligence Dept. of Computer Science, University of Rochester Nicole Dobrowolski Abstract: There are many strategies for maze traversal: always...
Rochester >> CS >> 242 (Fall, 2009)
i i x f p x i ~ f x i i x p h p f w h f f nvl}mt|gfixsrzEhjfBjEhsoslltqvrvqd|stzP{|n~| mrSjt|sxtpEu@stlfiEw{|f~uSffiw lErntpsxE{ftuafiEujamt|vu@Izw@t{fqrdfEjqrSfdrsttp4jEhf%sxs5r{ixRdimrsrzEhEhfu f p x h i x i i x f x ~ p w i w p p| i ~ f ...
Rochester >> CS >> 242 (Fall, 2009)
Modeling Priority Management Strategies Using UR-Quagents and JESS Tom O\'Neill Harry Glaser Leland Aldridge CSC242, Dept. of Computer Science, University of Rochester {toneill, hglaser, la002k}@mail.rochester.edu Abstract Complex agents with int...
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