Alberto POSTIGLIONE | COMPLEX SYSTEMS
Alberto POSTIGLIONE COMPLEX SYSTEMS
cod. 0222600017
COMPLEX SYSTEMS
| 0222600017 | |
| DIPARTIMENTO DI SCIENZE AZIENDALI - MANAGEMENT & INNOVATION SYSTEMS | |
| EQF7 | |
| BUSINESS INNOVATION AND INFORMATICS - BUSINESS, INNOVAZIONE ED INFORMATICA | |
| 2017/2018 |
| YEAR OF COURSE 2 | |
| YEAR OF DIDACTIC SYSTEM 2016 | |
| SECONDO SEMESTRE |
| SSD | CFU | HOURS | ACTIVITY | |
|---|---|---|---|---|
| INF/01 | 5 | 30 | LESSONS |
| Objectives | |
|---|---|
| THE COMPLEX SYSTEMS THEORY (CONSISTING OF SO MANY SIMPLE ELEMENTS THAT INTERACT WITH ONE ANOTHER) ANALYZES NONLINEAR DYNAMICS (THE WHOLE IS MORE THAN THE SUM OF THE PARTS) OF MANY PHENOMENA THAT SURROUND US. THE EMPHASIS IS ON STRUCTURAL FEATURES ("HOW ARE THEY"), FUNCTIONAL ("HOW THEY WORK AND EVOLVE"), AND ON THE USE OF COMPUTER SIMULATION AS A COMPLEX SYSTEMS ANALYSIS TOOL. THE COURSE AIMS TO ENCOURAGE THE DEVELOPMENT OF CRITICAL ANALYSIS CAPABILITIES IN COMPETITIVE PROCESSES BETWEEN MEMBERS OF A GROUP WITHIN A SINGLE ORGANIZATION OR AS POTENTIAL PARTNERS OF A STRATEGIC ALLIANCE. THE STUDENT, AT THE END OF THE TRAINING COURSE, WILL HAVE ACQUIRED •KNOWLEDGE TO SYSTEMATICALLY ADDRESS THE COMPLEX INTERACTION DYNAMICS OF AN ORGANIZATION, BOTH INTERNAL AND EXTERNAL, AND IN PARTICULAR IN A COMPETITIVE ENVIRONMENT. •ABILITY TO USE COMPUTER SIMULATION TO ANALYZE THE BEHAVIOR OF COMPLEX SYSTEMS BY IMPLEMENTING A SIMULATION MODEL AND PARTICIPATING IN A COMPUTER TOURNAMENT IN WHICH HE COMPETES WITH HIS OWN STRATEGY OF SOLVING THE "PRISONER DILEMMA" ITERATED WITH THOSE OF OTHER STUDENTS AND WITH CLASSIC STRATEGIES. |
| Prerequisites | |
|---|---|
| THOSE OF AN INTRODUCTORY COURSE IN INFORMATICS (COMPONENTS AND STRUCTURES OF A COMPUTER - DIGITAL REPRESENTATION OF INFORMATION - DIGITAL REPRESENTATION OF MULTIMEDIA DATA - SOFTWARE AND OPERATING SYSTEMS - COMPUTER NETWORKS). BASIC CONCEPTS AND TECHNIQUES ON DATA STRUCTURES AND PROGRAMMING IN A HIGH-LEVEL LANGUAGE TO DEVELOP COMPUTER SIMULATIONS. |
| Contents | |
|---|---|
| FIRST, EXAMPLES OF COMPLEX SYSTEMS BELONGING TO DIFFERENT REALITIES AND EXAMPLES OF NON-COMPLEX SYSTEMS WILL BE PRESENTED IN ORDER TO MAKE THE MAIN CONCEPT OF THE COURSE MORE CLEAR. IN THE FIRST PART OF THE COURSE ("KNOWLEDGE"), THE STUDENT WILL LEARN THE CONCEPTS OF: •COMPLEX NETWORK (BY ANALYZING THE PRINCIPAL PATTERNS OF REPRESENTATION OF A COMPLEX NETWORK) AS THE INTERCONNECTION STRUCTURE OF THE ELEMENTS OF A COMPLEX SYSTEM. AS AN EXAMPLE, THE MAIN PARAMETERS OF THE WEB NETWORK WILL BE ANALYZED. •NON-LINEAR INTERACTION BETWEEN THE ELEMENTS OF A COMPLEX SYSTEM. •POSITIVE AND NEGATIVE FEEDBACK PHENOMENA AND HOW THESE CONSTANTLY INTERVENE TO STABILIZE OR EXPLODE REAL WORLD SITUATIONS. •UNPREDICTABILITY OF A COMPLEX SYSTEM (AS ITS INTRINSIC PROPERTY). •NATURAL AND SPONTANEOUS EMERGENCE OF PHENOMENA OF SELF-ORGANIZATION OF A COMPLEX SYSTEM THAT, STARTING FROM CHAOTIC SITUATIONS, TENDS TO "SELF-ORGANIZE" ITSELF IN HIERARCHICAL AND ORDERLY STRUCTURES. •NATURAL AND SPONTANEOUS EMERGENCE OF COLLECTIVE BEHAVIORAL PHENOMENA (BIRD FLOCKS) AND SYNCHRONIZATION (APPLAUSE) OF A COMPLEX SYSTEM. •STATES, OR BEHAVIORS, OF A COMPLEX SYSTEM: ORDERLY, CHAOTIC AND COMPLEX (IN BALANCE BETWEEN ORDER AND CHAOS, A KIND OF LIQUID STATE BETWEEN ICY STATE AND GASEOUS STATE, THE ONLY ONE THAT MAKES IT POSSIBLE TO EVOLVE A SYSTEM). •SPONTANEOUS EVOLUTION OF A SYSTEM: SELF-ORGANIZED CRITICALITY, REACHING A CRITICAL THRESHOLD AND "CATASTROPHIC" BIFURCATION, RESULTING IN A "EVOLUTION" OF THE SYSTEM THAT REACHES A NEW STATE OF EQUILIBRIUM. IN THE SECOND PART OF THE COURSE, THE STUDENT WILL LEARN TO USE COMPUTER TOOLS TO CONDUCT SIMULATIONS ON SOME COMPLEX SYSTEMS. SIMULATION ASSIGNS SPECIFIC RULES TO ACTORS AND THEIR INTERACTIONS, AND THEN OBSERVES THE PROPERTIES THAT COME OUT AT THE LEVEL OF THE ENTIRE SOCIETY. WE WILL ANALYZE THE EMERGING PROPERTIES OF AGENT INTERACTIONS IN A COMPETITIVE ENVIRONMENT, AND HOW SUCH PROPERTIES TEND TO BE OF A COOPERATIVE NATURE. IN PARTICULAR, AFTER A BRIEF INTRODUCTION TO THE BASIC CONCEPTS OF THE THEORY OF GAMES, WE WILL ANALYZE THE CLASSIC MODEL OF THE ITERATED "PRISONER DILEMMA", INVITING STUDENTS TO DEVELOP THEIR OWN STRATEGIES THAT WILL COMPETE WITH EACH OTHER AND WITH THE CLASSICS ONES. OTHER MODELS WILL BE INTRODUCED TO ANALYZE MARKET DYNAMICS AND ALLIANCE FORMATION IN A CONFLICT ENVIRONMENT AND STUDENTS WILL BE INVITED TO IMPLEMENT AT LEAST ONE OF THESE MODELS. |
| Teaching Methods | |
|---|---|
| FRONTAL LESSONS AND GUIDED EXERCITATIONS (30 hours and 5 ECTS). FREE EXERCITATIONS. FINAL PROJECT. |
| Verification of learning | |
|---|---|
| THE FINAL EXAM INCLUDES: VERIFICATION OF KNOWLEDGE OF THEORETICAL ARGUMENTS DISCUSSION OF THE PROJECT. |
| Texts | |
|---|---|
| •GANDOLFI, A. “FORMICAI, IMPERI, CERVELLI, INTRODUZIONE ALLA SCIENZA DELLA COMPLESSITÀ”, BOLLATI BORINGHIERI •AXELROD, ROBERT “THE COMPLEXITY OF COOPERATION”, PRINCETON UNIVERSITY PRESS •BARABASI, LINK. LA SCIENZA DELLE RETI, EINAUDI |
| More Information | |
|---|---|
| THE STUDENT WILL FIND ON THE TEACHER'S WEBSITE ALL THE COURSE SLIDES AND OTHER TEACHING MATERIALS. |
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