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Agent and Mobile Technologies and Their Usage in Development of Learning Environment Supportive System Kaspars Osis, Janis Grundspenkis 3rd WSEAS International Conference on Visualization, Imaging and Simulations (VIS 2010) University of
University of Algarve, Faro, Portugal, November 3-5, 2010
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Introduction Aim and perspective of this work Agent technology Mobile technology Agents and mobile devices The case study Conclusions
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A shift to the information age; the Internet, … Rapid growth of information amounts Advancement of mobile technologies New mobile devices, forms and ways of communication,
A lack of innovative mobile services The need for new technologies Agent technology in context of mobile devices, ...
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A pilot project for acquiring new experience in multi-
A subgoal – to attract more attention to agent and mobile
Perspective - one of several modules of a more complex
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Human agents vs. Software agents Wooldridge and Jennings
“an agent is a computer system situated in some environment, and that is capable of autonomous action in this environment in order to meet its design objectives”
Weak notion (autonomy, social ability, reactivity, pro-activity) Strong notion (+ mobility, veracity, benevolence, rationality)
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Three basic abilities: autonomy, collaboration among
Agent types (by Nwana): collaborative agents, interface
(ACL) Agent communication language (based on on three
Knowledge Sharing Effort (KSE) consortium’s basic approaches: dictionaries, (ontologies) Knowledge Interchange Format (KIF), and Knowledge Query Manipulation Language (KQML) )
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Mobile devices – large diversity (~ 1500) Over 450 different configurations Different screen sizes Different operating systems
Several ways of connecting to network (bluetooth, Wi-Fi,
broadband air card, VPN, GSM, 3G, 4G, dial-up, OnStar system, ...)
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Large number of subscribers Weaknesses (small and different sizes of screens, keyboard, limited memory
and execution power, battery, text size and e-mail restrictions, .. )
ESPN example
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Mobile devices surpassing previous ones in power and in
Right information in the right time Acting on behalf of their owners (i.e. in rapidly changing
A lack of innovative mobile services – horizontal growth Agents abilities offer vertical growth solutions (side effects –
enhancements in minimizing a network load, autonomy, ability to adjust to place and to surrounding environment)
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FIPA (Foundation for Intelligent Physical Agents) standards –
Several multi-agent system development environments
JADE (Java Agent DEvelopment Framework) development
standards, uses FIPA ACL as agent communication language, graphical tools – for example for debugging)
LEAP (Lightweight Extensive Agent Platform) project Basic preconditions are there to go forward with an
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Learning environment supportive system (LESS) Evaluation of grading systems for udergraduate courses
“Accounting / resource planning systems” course Home works Short quizzes Research paper 250 points 40 points 110 points Research paper presentation Active participation in class Final exam 25 points 75 points 250 points
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“Active participation in class” - curving approach Point percentage alignment with final mark Possibility to appeal a mark Processing fee for missed deadline for final mark appeal
Percentage Mark Percentage Mark >= 93% (697 p.) >= 90% (675 p.) >= 87% (652 p.) >= 82% (615 p.) = 10 = 9 = 8 = 7 >= 78% (585 p.) >= 74% (555 p.) >= 70% (525 p.) < 70% (525 p.) = 6 = 5 = 4 = 3
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JADE-LEAP as a platform for multi-agent LESS system Partially located on notebook and on three smart phones Wi-Fi connectivity LESS agents' types:
PKMS: time & task agent Standard JADE agents (directory facilitator agent, ...)
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The LESS architecture
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The LESS system has four scenarios:
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The development of LESS prototype has proven the
Next steps are to:
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