MIXED CONVERGENCE PATTERN FOR INTELLIGENCE
NEGOTIATION SUPPORT SYSTEMS OF HIGH-TECH
NETWORK ORGANIZATION
Shan Zi-dan
College of Economy and Management, Harbin Engineering University, Harbin, 150001, China
School of management, Harbin University of Science and Technology, Harbin, 150040, China
Zhao Jin-lou
College of Economy and Management, Harbin Engineering University, Harbin, 150001, China
Keywords: High-tech network organization, Intelligence negotiation support system, Mixed convergence pattern
(MCP), Conflict resolution mechanism.
Abstract: According to the enterprise decision environment changes, negotiation conception and mode would been
increasingly updated and deepened, which externally requires that intelligence decision method and network
development technology is mutually combined. The paper summarizes domestic and foreign Intelligence
Negotiation Support System (INSS) research and development, provides problem processing operation
mechanism for network negotiation. Structure function and collaboration method based on Mixed
Convergence Pattern (MCP) are pointed out, besides conflict resolution strategy schemes and operation
rules for HTNO-INSS different execution states. It is concluded that scientific, visible and standard service
for collaboration project in HTNO could be provided, as well as methods support for whole competitive
power improvement in High-tech industry.
1 INTRODUCTION
Along with the global economic integration and
knowledge economic dynamic development, the
new technologies are superimposed reactions
continuously, with the changes of business trading
rules and economic technology cooperation forms
(Kaklauskas et al., 2008). It is essential that high-
tech enterprises oriented by innovation adjust
strategies facing to the highly competitive
environmental scenario. This adjustment is no longer
the simple alliance, but the large-scale innovative
cooperation with knowledge radial force in the
domain of technology and production (Sonerlas,
2006). High-tech Network Organization (HTNO) is
the lasting products of high-tech enterprise virtual
business; the organizational mode reflects one
community with unstructured and dynamic network,
composed of different enterprises with the aims of
mutual benefit, shared risks and extraordinary profit.
Research on Negotiation Support System (NSS)
stems in the late 1980s, it is decided as one branch
of Group Decision-making Support System. For
scholars of all nations have different aspects in
negotiation analysis of multi-type opinions of NSS
cognitions. NSS is defined as software tools such as
Research Briefs from Holsapple, Elliashberg, Alemi,
Jelassi, Balakrishnan, Jones, Kersten (Ding and Li,
2002); NSS is the special Group Decision-making
Support System for disagreement or controversy to
assist negotiation partners such as Stedinger,
Louucks, Thiessen (Tang and Meng, 2006); NSS has
negotiation analysis and decision model functions
and process support system such as Bellucci,
Zeleznikow (Lecce and Amato, 2008). Despite some
opinions, almost scholars could make NSS as the
software support tools to improve negotiation
efficiency and quality.
From the representativeness achievements,
almost achievements in-depth study on remote INSS
methods and theories, but there are some shortages.
For instance, INSS only supports simple model for
final resolution, when it faces to the complex
negotiation projects and organizations, the
396
Zi-dan S. and Jin-lou Z..
MIXED CONVERGENCE PATTERN FOR INTELLIGENCE NEGOTIATION SUPPORT SYSTEMS OF HIGH-TECH NETWORK ORGANIZATION.
DOI: 10.5220/0003569203960399
In Proceedings of the 13th International Conference on Enterprise Information Systems (NMI-2011), pages 396-399
ISBN: 978-989-8425-53-9
Copyright
c
2011 SCITEPRESS (Science and Technology Publications, Lda.)
overwhelm functional explorations are lack of
autonomy/independence dealing with transactions
capabilities. Specially, when INSS is confronted with
the unforeseeable events and emergency, it is
essential to promote the reorganizing, reasoning and
dispatching capabilities about Multi-issue and
Multiple Attributes decision-making problems.
2 OPERATIONAL MECHANISMS
FOR MIXED CONVERGENCE
MODE AS MCP
Benefit-induced Pattern for HTNO-INSS pays close
attention to individual Agent operational conditions
of decision activities, explanation status and
execution results; Benefit-perceived Pattern for
HTNO-INSS could give full play to Intelligence
System application on scenario simulation,
preference recognition and utility estimation. how to
take HTNO negotiation problems multiversity,
multi-Agent dynamic negotiation and result Non-
determinacy into consideration, how to express
conflict-issue type, and acquire participants
individual needs and so on, all these should be
importance of Mixed convergence model for
HTNO-INSS.
In HTNO-INSS, problem processing mechanism
for Mixed Convergence Pattern (MCP) breaks
benefit-induced driven and behavior-perceived
driven system establishment methods, plans and
recombines business functions around the center of
Multi-part negotiation process, allocates assignment
roles and transfers relative resource by Workflow
Engine, analyzes and supports activity operation and
management, until the final negotiation instance or
solutions are acquired by the current business
statement. The most prominent feature of HTNO-
INSS driven by MCP is embodied in identifying
individual Agent behavior type and group negotiation
statement, decomposes HTNO assignment units,
combines with case histories, expert experience and
model object, and analyzing, designing, developing
INSS to deal with Multi-part and Multi-issue
negotiation process.
3 HTNO-INSS
INFRASTRUCTURE DRIVEN
BY MCP
HTNO-INSS establishes the virtual negotiation envi-
ronment for individual Agent, supported by network
and communication technologies, supplies various
basis bargaining value analysis and strategic forming
tools, assisting alliance management institution to
control negotiation schedules, real-timely grasps
individual negotiation behaviors for reaching an
agreement by Multi-agent conflict-resolution
equilibriums, and finally forms Life-cycle
management of HTNO negotiation. The mode
process could be included of four stages, such as
assignment executions and process, activity analysis
and transfer, business control and management,
problem resolution and application, implementation
of HTNO-INSS is shown by Fig. 1.
Figure 1: HTNO-INSS operation sketch map based on
MCP.
A. Assignment Execution and Process. The stage
is the key connection of individual Agent pending
negotiation event queues of individual Agent in
HTNO, it needs to establish the certain treatment, or
answer some information requests, and information
expresses individual personal interests and behavior
characteristics. When some negotiation assignments
execute corresponding decision-making, the certain
knowledge parameters could require other Agent to
finish some dealing activity for acquiring some
valuable information by sending commands. In a
similar way, other Agent establishes relationships
with system by sending information when they
execute desired activities.
B. Activity Analysis and Transfer. The stage is
established on recognizing, gathering up and
refining to negotiation assignment, individual
behavior and business object, sufficiently describes
the executive roles and required resource. Workflow
Engine transfers corresponding Model Object by
conflict attributes and types, and Model Object
executions could be decided by invoking rules,
which affect the constraints and executive methods
MIXED CONVERGENCE PATTERN FOR INTELLIGENCE NEGOTIATION SUPPORT SYSTEMS OF HIGH-TECH
NETWORK ORGANIZATION
397
required, such sequence, parallel, selecting and
iterative structure. Table. 1 could be signified as
follows. Model object forms could be atomic
models, or compound models, or expand models.
Atomic model could be directly executed, without
trying to make further the analysis; Compound
model is coarse grain and reuse model consisting of
Atomic model, with Atomic model attributes and
relation operations among models; Expand model
mains to evolution and development for Atomic
model and Compound model.
Table 1: Executive pattern for negotiation events of
HTNO-INSS.
Basis Pattern Graphic Symbol Pattern Explanations
sequence
structure
i
event
j
event
p
event
q
event
event
i
is forerunner
event,
event
j
is Rear runner
event.
parallel
structure
i
event
j
event
p
event
q
event
event
i
and event
j
are
branch event for
parallel structure.
selecting
structure
i
event
j
event
p
event
q
event
event
i
and event
j
are
branch event for
selecting structure
iterative
structure
i
event
j
event
p
event
q
event
event
i
is the must-do
executive event,
event
j
is possible
executive event.
Workflow Engine has three assignments in
HTNO-INSS, consisting of corresponding
assignment list produced, corresponding executive
roles and resource list configured, corresponding
assignment list updated. Active arrangements for
assignment list are the executive process based on
assignment explanation and transfer
[6]
. The mode of
expression is as follows,
When int i=list.head; i<list.length; i=list.movenext
IF list[i].state=true // If pending conflict status is ready
Then Push (list[i]) // We interpose conflict event to ready
queue
Else Listi.sign=1 // The command signifies conflict-issue
visited
ENDIF
Judge(list[i]) // Dealing with the direct subsequent
activities for conflict object, we mark
the subsequent activities visited. After it
is finished, the ready status would be
deleted.
ENDWHEN
Workflow Engine classifies, discerns and explains to
interactive information during Agent
communications, determines assignment executive
area and request based on HTNO roles, transfers
negotiation decision-making model according to
active status of business object, saves the analysis
results of business activities, and renews
corresponding assignment and resource list. Above
all, executive expressions of business process are
serial or parallel sequence by event and assignment
interlaced.
C. Business Control and Management. Activity
operation and control center is important for
negotiation business process management, in charge
of transferring ready activity from assignment list
and collaborating with negotiation decision model,
detecting and performance managing for executive
activity. Operation control mains to the anomalous
event treated, opportunely detects new conflict
events, which inquires activity operative status, also
gathers and analyzes for status data. In the whole
working process of HTNO-INSS, we should
guarantee that the activities are in operation status as
many as possible to the best of our capability;
business management depends on quantitative and
qualitative knowledge in relative problem domain,
realizing the reciprocity and intercommunion
between negotiation expert experience and scenario
knowledge, and then complete negotiation
knowledge utilities and reasoning.
D. Problem Solving and Application. Problem
solving and application are the results
exemplification for business control and
management, the solving schemes includes
bargaining solution formed and process instance
produced. Bargaining solving schemes is used for
issue attribute value reaching an agreement of multi-
Agent in HTNO, process instances are the protocols
templates, cooperation rules and scenarios analyses
formed during issue solving process, which provide
experience information and knowledge for
negotiation activities of relative conflict issues.
Statement transformation and management take
charge of recording operation status and mutual
exchanging relationship; the goal status forming is
the pivotal content for collaboration operation
management.
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4 COPYRIGHT FORM
COMPLETION AND
TRANSITION FOR MIXED
CONVERGENCE PATTERN
(MCP)
Statement and activity transitions among HTNO-
INSS depend on individual Agent satisfaction degree
to benefit schemes, and manager Agent collaborated
capabilities. However, when group negotiation
reaches an impasse, system maintains the original
negotiation protocols, or adjusts invoking rules and
constraint conditions for model objects. HTNO-INSS
execution results have six forms, such as Waiting,
Ready, Running, Quit, Aborted and Completed.
Fig.2 shows relations of every expression forms in
HTNO negotiation activity statement.
Figure 2: Activity transition status for HTNO-INSS.
Therefore, we could discover that INSS problem
processing strategies are divided of three executive
forms, according to negotiation events happening
types and activities transition, the first type is regular
events transition status, that is original status , ready
state satisfying invoked conditions, activity
operational status and the whole negotiation
completed; the second type is anomalous
event transition status, that is hanging up executive
activity, amending ready state for renew exploring
activity schedules, or the executive activity canceled
by individual Agent, the current status resumed after
system is handled. The third type is special event
transition status, activity finishing state is reset to
original statement by individual Agent, that is status
parameters or participants altered, conflict-issue
schemes amended.
5 CONCLUSIONS
HTNO-INSS is a man-machine interface system
driven by Benefit-induced and Behavior-perceived
Patterns, which could assist individual Agent to
analyze pre-negotiation situation and prepare
tactically, deals with real-time data and information
during mutual bargaining for forming conflict
resolutions, and finally reaches scientifically
operational schemes. Mixed Convergence Pattern
(MCP) not only supply resolution technology
theories and method tools for alliance management
institution, creates fair, impartial and friendly
decision-making environment for HTNO
participants, gives full play to alliance governing
Competency, guarantees system operational
stationary and data transmission accuracy.
ACKNOWLEDGEMENTS
The research described here was supported by a grant
from China Postdoctoral Science Foundation (Project
No. 20090460877 and No. 201003414), Social
Science and humanity of China Ministry of education
(Project No.10YJC630037), Hei Longjiang
Postdoctoral Science Foundation (Project No. LBH-
Z09224). The Second author was partially supported
by a grant (70971028G0102) from National Nature
Science Foundation of China. I must express my
thankfulness for their support.
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