|

About Magenta
MagentA is a European firm pushing the boundaries of
possibility in business software development to deliver applications with a
difference, with inbuilt Intelligence.
Applications
have been developed to intelligently meet the needs of today's global
companies, to resolve issues of supply and demand proactively, to make sense of
large repositories of business information and to provide a quality of service
that meets increasingly high customer expectations, in a way in which
conventional software applications can't.
The MagentA team brings together disciplines such as
software engineering and application development, human-computer interaction
and business strategy to deliver a product set and services that are built
around our customer's business model.
Click
here for MagentA Technology
We are excited about the possibilities that intelligent
systems offer and we would be delighted to share our vision on how these
systems can be deployed to the best effect in your company, together the
possibilities are endless…
I-Solutions...
MagentA Corporation (est.1999) is a European business
software development firm based in the UK that specialises in the delivery of
smart agent-based applications that intelligently enhance the business
processes of its clients and deliver real business benefits throughout their
operations.
MagentA's Intelligent Enterprise (I-Enterprise)
suite of
products
have been developed to
deliver cost savings and qualitative improvements to Fortune 2000 companies in
areas such as CRM, HRM, Knowledge Management, ERP, Procurement, logistics and
supply chain management.
MagentA's solutions are delivered primarily via a network of
implementation partners who specialize in web and system integration and who
recognize the potential of intelligent applications to address the business
needs of their clients.
MagentA's revenues are primarily derived through software
license fees and time & materials consulting.
Frequently asked
questions
|
What is the Agent?
What does the Ontology mean
?
What
are the principal features of the MagentA multi-agent approach?
What
are the main features of the Multi-agent Systems ?
What
are the main features of MagentA Multi-Agent Engines ?
What
are the main benefits for the end-users of systems based
on these
engines?
What are
the main benefits for the developers?
What is the Agent? top
There are a lot of different definitions of the agent. Here, in MagentA,
we use this one:
Agents are the software objects capable of competing
and/or collaborating among themselves with a view to achieving given
tasks. Agents operate within a Virtual World, which represents a model
of a domain of the Universe. Knowledge about this domain is stored in
Ontology.
Agents compose messages, send them to other agents
or to their human clients, interpret received messages and make
decisions how to act upon them.
What does
the Ontology mean ? top
In agent-based applications, the term Ontology
refers to the description of an environment (business, physical,
economic or any other) within which agents operate. Ontology contains
objects upon which agents act and rules which they must follow.
For example, Ontology comprising corporate knowledge
forms the basis of agent activities in the MagentA i-Enterprise System.
It describes the structure of a company, roles of its employees, main
directions of its business activities, goods produced and sold, current
and potential clients of the company and many other important aspects
of the business. This knowledge represents the intellectual capital of
the corporation, which is constantly being modified, deleted, updated,
verified and replaced, developing and evolving along with the
corporation.
MagentA products use Ontology in the form of a
semantic network to describe subject domains and specific applications.
This network uses fundamental concepts such as object, process,
property, attribute and relation, to structure the relevant knowledge.
The use of such a network allows us to separate knowledge of a domain
from the source code governing agent runtime behaviour and to re-use it
for a range of applications.
What are the principal features of the MagentA multi-agent approach? top
Unlike most of the well-known systems MagentA offers
quite a new approach and a selection of software tools for developing
agents and their communities.
Firstly, MagentA Corporation offers agents that are
not mobile in the traditional sense of the word, as Java-agents. The
agents of MagentA Corporation inhabit the user's workstation, server or
networks of workstations/servers; they are developed in highly
efficient languages like C++ or Object Pascal. This allows us to
considerably increase the number of agents that can work in parallel
(several hundreds of thousands), increase the speed of communication
between agents (up to 50,000 messages per second), and to simplify or
eliminate a whole range of design problems, including the problems of
security, agent interaction etc.
Secondly, the users are offered agents with a whole
range of intelligent abilities - from simple agents at the elementary
level and quick smart agents to quite complex ones that are truly
intelligent. The complex, intelligent agents are built in a new way: by
the networking of simpler agents rather than by an extensive expansion
of capacities and capabilities of a basic agent, as is traditionally
done.
MagentA agents are result of an extensive research
and development work in the field of self-organising agents and agent
communities, virtual and abstract worlds, strategies for reasoning and
simulation of negotiations based on the method of compensations,
ontology architectures and building of multi-tasking runtime software
environments.
MagentA multi-agent systems are characterised by
emergent intelligence, flexibility, effectiveness, short development
lead times and low-cost ownership, which makes them accessible to a
wide range of potential customers.
What
are the main features of the Multi-agent Systems ? top
Self-Organisation.
The task of MagentA Agents is to match available resources to demands.
The match can be full or partial, if a full match cannot be achieved.
As new demands and resources become available MagentA Agents will,
without being prompted, reconsider all partial matches with a view to
achieving better distribution of resources to demands.
Competition
and Cooperation.
Typically there exists either a surplus of resources over demands or
vice versa. Therefore MagentA Agents will have to compete among
themselves to "sell" surplus resources to demands or to "purchase"
limited quantity of resources on behalf of demands. Whenever there is a
possibility to achieve the optimal distribution of resources to demands
by co-operation, MagentA Agents will switch from competition to
collaboration.
Internal
Payments and Compensations.
All MagentA Agents are allocated virtual money with a view to
participating in a virtual free market. Agents can choose from a
variety of business strategies available to them. They have personal
accounts and can initiate payment transactions. The profit of each
agent is calculated as a percentage of closed deals and is a measure of
the success of this agent. Rich agents can use they profit for the
booking of new services and activities. Virtual money is, of course,
only a tool for on-line re-allocation of resources.
Networked
Organisation.
MagentA multi-agent systems are fully distributed networks with
significant parallelism and peer-to-peer negotiations. Agents take full
responsibility for their decisions (each action costs an agent some
virtual money). There are no control hierarchies, no top-down
instructions.
The
Use of Local Knowledge.
In MagentA systems there is no necessity for agents to know the
"situation in general" and attempt to find the global optimum -
instead, they each operate making the best possible use of their local
knowledge with a focus on increasing the overall system value. Thus the
global optimum is achieved by the sum total of all agent actions, as a
step-wise adjustment of the system value.
Emergent
Intelligence.
Through the interaction of a large number of agents, each of limited
intelligence, MagentA multi-agent systems achieve the amplification of
the intelligence far beyond the sum of all constituent elements.
What are the main features of MagentA Multi-Agent Engines ? top
The MagentA
Engine incorporates a proprietary self-contained multi-agent
run-time environment, with all appropriate tools required to rapidly
construct systems and applications.
C++ and Delphi Multi-Agent Engines are available now
for the software developers with the following functionality of their
run-time systems:
A
virtual machine for parallel execution of hundred of thousand of
agents;
A
messaging system for the support of agent negotiations ;
Special
scripts support for changing ontology "on-the-fly";
Standard
interface modules;
System
and service operations (memory management, etc)
We have two major types of engines, each with a
variety of versions to match a rich range of applications:
MagentA Engine Model SB / C++ (main features:
flexibility, Internet, real-time) possesses a flexible language for
representing agents and visual tools for supporting multi-agent
development.
MagentA Engine Model RC / Object Pascal (main
features: high speed, desk-top, simulations) is notable for its
facility for low-level programming of simple agents in Object Pascal,
in order to develop highly efficient applications.
What are the main benefits for the end-users of systems based on these
engines?
top
Autonomous
operation 24 hours a day;
Pro-active
marketing, advertisements and sales;
One-to-one
dialogue with users;
Ability
to work under conditions of uncertainty;
Scalability
based on parallel execution.
What are the
main benefits for the developers? top
An
opportunity to acquire expertise in developing state-of-the-art
software capable of handling challenges presented by highly volatile
global mar;
A
real possibility to achieve differentiation;
A
rapid reduction in concept-to-market lead times in software
applications because of the generic features of MagentA Engines;
·An ease of maintaining developed applications thanks to capability to
change ontology "on the fly" without any programming |
|


©
Tech4T (Technologies4Targeting Ltd.) 2002/2004 All Rights Reserved.
www.tech4t.co.uk |