A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Tractable Reasoning about Agent Programming in Dynamic Preference Logic
2018
2018 7th Brazilian Conference on Intelligent Systems (BRACIS)
Preserved Fulltext
Other Versions
In this work, we use of Dynamic Preference Logic to provide a semantic foundation to BDI agent programming languages and investigate tractable expressive fragments of this logic to reason about agent programs ...
More yet, the reasoning problems in these logics, being based on modal logic, are not tractable in general, limiting their usage to tackle real-world problems. ...
REASONING ABOUT BDI AGENTS USING DPL An interesting property of Preference Logic -the logic used as a foundation to construct L ≤P ,≤D (A) -is that preference models can be encoded by means of some structures ...
doi:10.1109/bracis.2018.00070
dblp:conf/bracis/SouzaMV18
fatcat:ss5xgs5m4vgphplxa3klb32wz4
Special Issue on Challenges for Reasoning under Uncertainty, Inconsistency, Vagueness, and Preferences
2017
Künstliche Intelligenz
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
artificial intelligence (AI). ...
Important examples are fuzzy and probabilistic approaches for description logics, or rule systems for handling vagueness and uncertainty in the Semantic Web, or formalisms for handling user preferences ...
reasoning, but also libraries for dealing with agents, multi-agent systems. ...
doi:10.1007/s13218-016-0479-z
fatcat:rdduceqyzzatljzzbmlo2vhjty
Agent-based consumer learning in e-commerce
2007
International Journal of Networking and Virtual Organisations
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The intelligent agents can play a right role in the personalized education of online consumers, because intelligent agents can learn the consumers' learning preferences and styles and recommend the best ...
This paper investigates using intelligent agents to support consumer learning and proposes an agent-based consumer learning support framework. ...
You prefer using your body, hands and sense of touch. • Logical. You prefer using logic, reasoning and systems. • Social. You prefer to learn in groups or with other people. • Solitary. ...
doi:10.1504/ijnvo.2007.012083
fatcat:svkklv353nbmtiw577dk2ayfma
AAAI 2002 Workshops
2002
The AI Magazine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In addition, preferences can themselves be objects of reasoning. ...
Presentations covered several space systems and a large naval application. Discussions of applied research motivated the need for agents to explicitly reason about autonomy and delegation. ...
representing and reasoning about either space or time-or both. ...
doi:10.1609/aimag.v23i4.1678
dblp:journals/aim/BlakeHHFSBMGPMKBSKPBdJDDRSGWGHIWAGL02
fatcat:b3lkuxmpj5ezbddwbysfuk4yhi
Embedding Ethical Principles in Collective Decision Support Systems
2016
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Thus hybrid collective decision making systems will be in great need. ...
In this scenario, both machines and collective decision making systems should follow some form of moral values and ethical principles (appropriate to where they will act but always aligned to humans'), ...
Acknowledgements This work is partially supported by the project "Safety constraints and ethical principles in collective decision making systems" funded by the Future of Life Institute. ...
doi:10.1609/aaai.v30i1.9804
fatcat:5dunsyt4e5as5e3sckrva4z4ru
Intelligent System for Real-Time Traffic Recommendations
2014
Research in Computing Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This paper proposes a multi-agent system able to make recommendations of travel routes in real time. ...
This information is given to an agent-based app that, supported on the preferences and needs of the user, presents recommendations of optimal routes. ...
Implementation using Multi-agent System A multi-agent system is an autonomous computer system, in which there are software agents with a certain level of intelligence. ...
doi:10.13053/rcs-76-1-12
fatcat:q56ytva3nvd2jd42zkturfkbmi
Representing and Reasoning with Preferences
2007
The AI Magazine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
In multiagent systems, we may need to com-
bine the preferences of several agents. ...
Reasoning about Soft Con- tial Optimization. ...
doi:10.1609/aimag.v28i4.2068
dblp:journals/aim/Walsh07
fatcat:i2zhiqv26fhzxj627kt4vn57di
The Superintelligent Will: Motivation and Instrumental Rationality in Advanced Artificial Agents
2012
Minds and Machines
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
This paper discusses the relation between intelligence and motivation in artificial agents, developing and briefly arguing for two theses. ...
In combination, the two theses help us understand the possible range of behavior of superintelligent agents, and they point to some potential dangers in building such an agent. ...
Others may also have preferences about an agent's goals. ...
doi:10.1007/s11023-012-9281-3
fatcat:hsoq3btvxfdrbjfkp467l3l4je
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
[chapter]
2005
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The main benefit of this model is the ability to reason over context data to predict what the user wants the system to do. ...
In this paper, we propose a formal and comprehensive ontology-based model of user preference and behavior routine. ...
Introduction Intelligent ubiquitous computing focuses on merging intelligent and agent-based system with the ubiquitous computing paradigm. ...
doi:10.1007/11575801_43
fatcat:jiaezcq7rzg43btdzij62amd7i
Page 3502 of Psychological Abstracts Vol. 91, Issue 9
[page]
2004
Psychological Abstracts
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
—In this paper, we consider multi-agent constraint systems with preferences, modeled as soft constraint systems in which variables and constraints are distributed among multiple autonomous agents. ...
Preferences recently gained a lot of interest in differ- ent subareas of AI such as qualitative decision theory, nonmonotonic reason- ing, constraint programming (CP), and reasoning about action and time ...
Conversational intelligence analysis
2016
Proceedings of the 17th International Conference on Distributed Computing and Networking - ICDCN '16
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The integrated system is developed for supporting intelligence analysis in a coalition environment. ...
CISpaces supports collaborative sensemaking among analysts via argumentation-based evidential reasoning to guide the identification of plausible hypotheses, including reasoning about provenance to explore ...
The views and conclusions contained in this document are those of the author(s) and should not be interpreted as representing the official policies, either expressed or implied, of the U.S. ...
doi:10.1145/2833312.2849568
dblp:conf/icdcn/TonioloPWNSD16
fatcat:chcnr4gsubfxhg7jzqqp6oyytu
Emergency Management and Decision Support Systems
2010
مجلة الجمعیة المصریة لنظم المعلومات وتکنولوجیا الحاسبات
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Intelligent DSS and Intelligent Agent Technology (IAT) and their development in an organization are being discussed in this paper. ...
It identifies a decision making model and its requirement>s definitions of reasoning mechanism and compare both the passive and active DSS. ...
could have: *A structural intelligence of multi-agent system, or *Behavioral intelligence of multi-functional system. ...
doi:10.21608/jstc.2010.120280
fatcat:xrgg537mfjhpfix73xjprsnqvu
Reasoned Assumptions and Pareto Optimality
1985
International Joint Conference on Artificial Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Default and non-monotonic inference rules are not really epistemological statements, but are instead desires or preferences of the agent about, the makeup of its own mental state (episternic or otherwise ...
The fundamental relation in non-monotonic logic is not so much self-knowledge as self-choire or seIf-determination, and the fundamental justification of the interpretation"*, and structures involved come ...
Hanvey and one of the IJCAI referees for discovering an error in an earlier draft. ...
dblp:conf/ijcai/Doyle85
fatcat:2ycdvqizwfhqhfvz2pryjdgd3i
Defining an Architecture for a Ubiquitous Group Decision Support System
[chapter]
2017
Advances in Intelligent Systems and Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
It uses three main components that are interconnected and that will allow to collect and preserve the amount and quality of intelligence generated in face-to-face meetings. ...
Supporting group decision-making in ubiquitous contexts is fundamental while developing Group Decision Support Systems (GDSS). ...
The reasoning layer allows the participant agent to reason about the received information, whether it receives a request or another kind of message. ...
doi:10.1007/978-3-319-61118-1_30
fatcat:bxnxicomfjck5kdpdsfftohzea
Crowd Intelligence in Intelligent Environments: A Journey from Complexity to Collectivity
2013
2013 9th International Conference on Intelligent Environments
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
One form of complexity in intelligent environments arises from their heterogeneous nature. ...
However we argue that utilizing Crowd Intelligence techniques in Intelligent Environments offer several advantages for dealing with these complexities. ...
agent reasoning in favour of the people. ...
doi:10.1109/ie.2013.40
dblp:conf/intenv/AnantaCCBG13
fatcat:ihacfv5czvch7jtrpfa72y6rfi
« Previous
Showing results 1 — 15 out of 169,307 results