AIRWiki - User contributions [en]

FinAgent

2012-09-16T09:56:42Z

AlessandroBellemo:

{{Project
|title=FinAgent
|coordinator=FrancescoAmigoni
|collaborator=AlessandroBellemo
|resarea=Agents, Multiagent Systems, Agencies
|restopic=Multiagent Systems, Cooperative Negotiation
|start=01/08/2012
|end=31/07/2013
|status=Active
}}

[http://www.mercatoelettrico.org Gestore dei Mercati Energetici S.p.A.] (from here on “GME”) is the company that organizes and economically manages the Italian Energy Market. The Energy Market allows energy producers, consumers and wholesale customers to purchase and sell electricity, natural gas and green certificates.

Given the importance of energy in the modern days GME requires every company that operates on the Energy Market to provide financial guarantees; this way, if a company goes into default or cannot pay, the guarantee can be used instead; currently, two types of guarantee can be used when operating on the Energy Market: first-demand bank guarantees and non-interest-bearing cash deposits.

The problem with the current system is that different types of guarantee are required on different markets handled by GME; also the rules about how much guarantee is needed to cover operations vary from market to market. This makes it difficult for operators to distribute their available guarantee on all the markets they operate on and it also increases running costs for both operators and GME: operators have to get several different guarantees form their bank (each of which incurs a cost) and GME needs IT systems and employees to check whether the guarantee distributions provided by the operators are correct.

In order to overcome these problems GME decided to fund a research to create a prototype called FinAgent. FinAgent is a multiagent system that can automatically handle financial guarantees and distribute them on the markets on which an operator operates. In order to do this GME allows all guarantees provided by an operator to be used on every market so that guarantee distribution can be simplified. This also means that operators can reduce the number of guarantees they need and as such running costs are decreased.
A multiagent system has been chosen because agents can create a model of the markets they handle and then try to foresee what kind of operations will be done on that market in the future based on the previous behaviour of the operator. In other words the guarantee distribution is based on:
The rules of the market (e.g. whether operations must be fully or partially covered by guarantee).
The past behaviour of the operator (e.g. if an operator often buys a lot of energy on a market on Monday then the agent in question will provide on Sunday a guarantee distribution that favours that market).
Other miscellaneous rules (e.g. if many operations on a market have been cancelled due to lack of guarantee then in future the agent that handles that market will try to obtain more guarantee). These rules can also be set by the operator.

The current architecture of FinAgent is this: every operator has a stakeholder agent for each market it operates on and a moderator agent that coordinates all stakeholder agents. The guarantee distribution is obtained through [ftp://ftp.elet.polimi.it/users/Francesco.Amigoni/pij14.pdf cooperative negotiation].

User:AlessandroBellemo

2012-09-16T09:49:46Z

AlessandroBellemo:

{{Researcher

|firstname=Alessandro
|lastname=Bellemo
|email=alessandro.bellemo@mail.polimi.it
|advisor= FrancescoAmigoni;
|resarea=Agents, Multiagent Systems, Agencies;
|status=active
}}
Currently working on the [[FinAgent]] project.

User:AlessandroBellemo

2012-09-16T09:48:23Z

AlessandroBellemo: Page creation

{{Researcher

|firstname=Alessandro
|lastname=Bellemo
|email=alessandro.bellemo@mail.polimi.it
|advisor= FrancescoAmigoni;
|resarea=Agents, Multiagent Systems, Agencies;
|status=active
}}

aaa

Projects

2012-09-16T09:38:22Z

AlessandroBellemo: /* Agents, Multiagent Systems, Agencies */

This page is a repository of links to the pages describing the '''projects''' we are currently working on at AIRLab.
See the list of our finished projects on the [[Finished Projects]] page.

== Ongoing projects ==
''by research area (areas are defined in the [[Main Page]]); for each project a name and a link to its AIRWiki page is given''

=== [[Agents, Multiagent Systems, Agencies]] ===
----
===== [[Strategic Robot Patrolling]] =====

===== [[Evolutionary game theory for biology]] =====
===== [[Game theoretic analysis of electric power]] =====
===== [[Algorithms for computing equilibria]] =====
===== [[Multiagent cooperation|Multiagent cooperating system]] =====
===== [[Planning in Ambient Intelligence scenarios]] =====
===== [[Real-Time Strategy Games]] =====
===== [[FinAgent]] =====

=== [[BioSignal Analysis]] ===
----
===== [[Affective Computing]] =====

{{#ask: [[Category:Project]][[prjResTopic::Affective_Computing]][[PrjEnd::>{{CURRENTYEAR}}/{{CURRENTMONTH}}/{{CURRENTDAY}}]] |format=ul}}

===== [[Brain-Computer Interface]] =====
* [[BCI based on Motor Imagery]]
** [[Predictive BCI Speller based on Motor Imagery]] (Master thesis, Tiziano D'Albis)
** [[Feature Selection and Extraction for a BCI based on motor imagery]] (Master thesis, Francesco Amenta)
** [[Integrating Motor Imagery and Error Potentials in a Brain-Computer Interface]] (Master Thesis, Paolo Calloni)
** [[Ocular Artifacts Filter implementation for a BCI based on motor imagery]] (First Level thesis, Fabio Beltramini)
* [[Online automatic tuning of the number of repetitions in a P300-based BCI]] (First Level thesis, Siegfried Cattaneo)
* [[Graphical user interface for an autonomous wheelchair]] (First Level thesis, Antonio Tripodi and Eleonora Ciceri)
* [[Mu and beta rhythm-based BCI]]
* [[Reproduction of an algorithm for the recognition of error potentials]]
* [[Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI]]

===== [[Automatic Detection Of Sleep Stages]] =====
* [[Sleep Staging with HMM]]

===== [[Analysis of the Olfactory Signal]] =====
* [[Lung Cancer Detection by an Electronic Nose]]
* [[HE-KNOWS - An electronic nose]]

===== [[Classification of EMG signals]] =====

=== [[Computer Vision and Image Analysis]] ===
----
* [[Automated extraction of laser streaks and range profiles]]
* [[Data collection for mutual calibration|Data collection for laser-rangefinder and camera calibration]]
* [[Image retargeting by k-seam removal]]
* [[Particle filter for object tracking]]
* [[Template based paper like reconstruction when the edges are straight]]
* [[Wii Remote headtracking and active projector]]
* [[Vision module for the Milan Robocup Team]]
* [[Long Exposure Images for Resource-constrained video surveillance]]
* [[NonPhotorealistic rendering of speed lines]].
* [[Restoration of blurred objects using cues from the alpha matte]]
* [[Analyzing Traffic Speed From a Single Night Image - Light Streaks Detection]]
* [[Plate detection algorithm]]
* [[A vision-based 3D input device for space curves]]
* [[Correlation-based 3D reconstruction with pan/tilt stereo-camera]]
* [[Inverse scaling parametrization for Monocular Simultaneous Localization and Mapping]]
* [[Image resize by solving a sparse linear system]]
* [[Monocular Simultaneous Localization And Mapping with Moving Object Tracking using Conditional Independent submaps]]
* [[Robust data association for high-speed SLAM]]
* [[Automated Recognition between alkaline and non-alkaline AA batteries]]
* [[Hand gesture guided desktop lamp]]

=== [[Machine Learning]] ===
----
* [[Adaptive Reinforcement Learning Multiagent Coordination in Real-Time Computer Games|Adaptive Reinforcement Learning Multiagent Coordination in Real-Time Computer Games]]
* [[B-Smart Behaviour Sequence Modeler and Recognition tool|B-Smart Behaviour Sequence Modeler and Recognition tool]]
* [[Giskar - Distance estimation through single camera features applied to Neural Networks]]
* [[Exploit of betting patterns using genetic algorithms and reinforcement learning]]

* [[Q_Fitted_Algorithm:_The_Dam_Problem]]

* [[Batch Learning for Poker]]

=== [[Evolutionary Computation]] ===
----

* [[Evoptool: Evolutionary Optimization Tool]]

=== [[Philosophy of Artificial Intelligence]] ===
----

=== [[Robotics]] ===
----

==== [[Robot development]] ====
* [[ExhiBot - A robot for exhibitions]]
* [[LURCH - The autonomous wheelchair]]
* [[Balancing robots: Tilty, TiltOne]]
* [[Robotizing a Golf Cart ]]
* [[ Development of a neck for humanoid robot ]]
* [[Development of robot Maximum One - control and programming ]]
* [[Milan Robocup Team Robot development ]]
* [[Modular Robotic Toolkit ]]
* [[Indoor localization system based on a gyro and visual passive markers]]
* [[Simulation of a 6 DOF Manipulator]]
* [[Warugadar - Fusion piezoelettric and vision controllers with PYRO]]

==== [[Benchmarking]] ====
* [[Rawseeds|RAWSEEDS]]

==== [[Bio Robotics]] ====
* [[PoliManus]]
* [[ZOIDBERG - An autonomous bio-inspired RoboFish]]
* [[Styx The 6 Whegs Robot]]
* [[PolyGlove: a body-based haptic interface]]
* [[ULISSE]]
* [[PEKeB: a PiezoElectric KeyBoard]]
* [[Anthropomorphic Robotic Wrist]]
* [[High-level architecture for the control of humanoid robot]]
* [[Zoidberg II, powering robot fish]]
* [[EMG, new test]]
* [[CPG for Warugadar]]
* [[Hand prosthesis using robotics principles]]
* [[Control of Whitefinger]]

==== [[Robogames]] ====
* [[ROBOWII]]
* [[RobogameDesign]]

==== [[Navigation Strategies]] ====
* [[ Navigation system for LURCH ]]

=== [[Social Software and Semantic Web]] ===
----
===== [[Social Network Analysis| Extracting Knowledge From Social Networks]] =====

{{#ask: [[Category:Project]][[prjResTopic::Social Network Analysis]][[prjStatus::Active]]|?prjTitle = |format=ul}}

===== [[Semantic Tagging]] =====

{{#ask: [[Category:Project]][[prjResTopic::Semantic Tagging]][[prjStatus::Active]]|?prjTitle = |format=ul}}

===== [[Semantic Search]] =====

{{#ask: [[Category:Project]][[prjResTopic::Semantic Search]][[prjStatus::Active]]|?prjTitle = |format=ul}}



== Past projects ==

=== [[BioSignal Analysis]] ===

===== [[Affective Computing]] =====

{{#ask: [[Category:Project]][[prjResTopic::Affective_Computing]] [[PrjEnd::<{{CURRENTYEAR}}/{{CURRENTMONTH}}/{{CURRENTDAY}}]]|format=ul}}

===== [[Brain-Computer Interface]] =====
* [[Online P300 and ErrP recognition with BCI2000]]

=== [[Robotics]] ===
*[[2D Mapping Using a Quadtree Data Structure]]

== April Fool's projects ==

Following the [http://en.wikipedia.org/wiki/April_Fools%27_Day_RFC RFC] tradition,
[[April_1st_Projects|here]] is our April Fool's project page.

== Note for students ==

If you are a student and there isn't a '''page describing your project''', this is because YOU have the task of creating it and populating it with (meaningful) content. If you are a student and there IS a page describing your project, you have the task to complete that page with (useful and comprehensive) information about your own contribution to the project. Be aware that the quality of your work (or lack of it) on the AIRWiki will be evaluated by the Teachers and will influence your grades.

Instructions to add a new project or to add content to an existing project page are available at [[Projects - HOWTO]].

FinAgent

2012-09-16T09:37:39Z

AlessandroBellemo: Page creation

{{Project
|title=FinAgent
|coordinator=FrancescoAmigoni
|students=AlessandroBellemo
|resarea=Agents, Multiagent Systems, Agencies
|restopic=Multiagent Systems, Cooperative Negotiation
|start=01/08/2012
|end=31/07/2013
|status=Active
}}

[http://www.mercatoelettrico.org Gestore dei Mercati Energetici S.p.A.] (from here on “GME”) is the company that organizes and economically manages the Italian Energy Market. The Energy Market allows energy producers, consumers and wholesale customers to purchase and sell electricity, natural gas and green certificates.

Given the importance of energy in the modern days GME requires every company that operates on the Energy Market to provide financial guarantees; this way, if a company goes into default or cannot pay, the guarantee can be used instead; currently, two types of guarantee can be used when operating on the Energy Market: first-demand bank guarantees and non-interest-bearing cash deposits.

The problem with the current system is that different types of guarantee are required on different markets handled by GME; also the rules about how much guarantee is needed to cover operations vary from market to market. This makes it difficult for operators to distribute their available guarantee on all the markets they operate on and it also increases running costs for both operators and GME: operators have to get several different guarantees form their bank (each of which incurs a cost) and GME needs IT systems and employees to check whether the guarantee distributions provided by the operators are correct.

In order to overcome these problems GME decided to fund a research to create a prototype called FinAgent. FinAgent is a multiagent system that can automatically handle financial guarantees and distribute them on the markets on which an operator operates. In order to do this GME allows all guarantees provided by an operator to be used on every market so that guarantee distribution can be simplified. This also means that operators can reduce the number of guarantees they need and as such running costs are decreased.
A multiagent system has been chosen because agents can create a model of the markets they handle and then try to foresee what kind of operations will be done on that market in the future based on the previous behaviour of the operator. In other words the guarantee distribution is based on:
The rules of the market (e.g. whether operations must be fully or partially covered by guarantee).
The past behaviour of the operator (e.g. if an operator often buys a lot of energy on a market on Monday then the agent in question will provide on Sunday a guarantee distribution that favours that market).
Other miscellaneous rules (e.g. if many operations on a market have been cancelled due to lack of guarantee then in future the agent that handles that market will try to obtain more guarantee). These rules can also be set by the operator.

The current architecture of FinAgent is this: every operator has a stakeholder agent for each market it operates on and a moderator agent that coordinates all stakeholder agents. The guarantee distribution is obtained through [ftp://ftp.elet.polimi.it/users/Francesco.Amigoni/pij14.pdf cooperative negotiation].