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Identifier |
000370769 |
Title |
Multi-Agent Distributed Epistemic Reasoning in Ambient Intelligence Environments |
Alternative Title |
Κατανεμημένη Επιστημολογική Συλλογιστική με Πολλαπλούς Πράκτορες σε Περιβάλλοντα Διάχυτης Νοημοσύνης |
Author
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Χατζηβασίλης, Γεώργιος Βασίλειος
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Thesis advisor
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Πλεξουσάκης, Δημήτρης
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Abstract |
In Ambient Intelligence environments, there exist many different entities,
called agents, which collect, process and exchange information about these
environments. All agents coexist in the same environment and share the same context.
However, each agent faces it from a different aspect according to its role, capabilities,
authority and goals. Every agent comes up with its own viewpoint about the
environment, acting as an individual entity but cooperating with other agents to
accomplish its goals and thus forming an agent system or network. The global
consistency of the whole system has introduced new research challenges in the
Ambient Intelligence (AmI) field. As agents are sensing the environment variables,
incorrect information can arise from missing facts and ambiguous information among
the different agents’ perceptions.
In this thesis, we model agents as nodes in a peer-to-peer network, considering
the conflicts that may arise during the integration of the knowledge distribution. We
propose a proof of evidence mechanism to resolve the situations that may arise which
is based on a grading mechanism, called certainty degree, and on share theories,
which are the combined sub-theories of the participating agents. We examine
consistency matters about both the individual theories and the share theories that may
be constructed.
When we implement an intelligent system we must be able to model several
cases of real world states and problems. We present a process of real time distributed
reasoning for ambient environments. We use the Event Calculus (EC) as a logic
language to model the AMI environment, the agents’ theories about these
environments and the events that can occur. We have extended the basic reasoning
process of EC and resolve problems where reasoning about real system time must be
considered, like “Turn off the oven in 20 minutes” or “if somebody enters the room in
the next 5 minutes, send me a message”. Thus, problems like the conditional ‘n>m’ or
the ‘nth occurrence’ can be encountered in the real time space. We even enrich the
expressiveness of our tool by enabling the modeling of contexts with knowledge,
preferences and priorities.
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Language |
English |
Subject |
AMI |
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Agents |
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Ambient Intelligence |
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Artificial Intelligence |
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Distributed Reasoning |
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Epistemic Reasoning |
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Διάχυτη νοημοσύνη |
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Επιστημολογική συλλογιστική |
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Κατανεμημένη συλλογιστική |
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Πράκτορες |
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Τεχνιτή νοημοσύνη |
Issue date |
2011-12-16 |
Collection
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School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
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Type of Work--Post-graduate theses
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Permanent Link |
https://elocus.lib.uoc.gr//dlib/1/6/6/metadata-dlib-1324539572-57315-15802.tkl
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Views |
690 |