Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Piotr J. Gmytrasiewicz"'
Autor:
Piotr J. Gmytrasiewicz, Yanlin Han
Publikováno v:
AAAI
This paper introduces the IPOMDP-net, a neural network architecture for multi-agent planning under partial observability. It embeds an interactive partially observable Markov decision process (I-POMDP) model and a QMDP planning algorithm that solves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c81607e6ddc95b57af48cae8393d053a
https://doi.org/10.1609/aaai.v33i01.33016062
https://doi.org/10.1609/aaai.v33i01.33016062
Autor:
Piotr J. Gmytrasiewicz, Sarit Adhikari
Publikováno v:
Multi-Agent Systems ISBN: 9783030822538
EUMAS
EUMAS
Communicative interactive POMDPs (CIPOMDPs) provide a principled framework for optimal interaction and communication in multi-agent settings by endowing agents with nested models (theories of mind) of others and with the ability to communicate with t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d837e2d0ff68d45c6b5c7655d774602d
https://doi.org/10.1007/978-3-030-82254-5_15
https://doi.org/10.1007/978-3-030-82254-5_15
Publikováno v:
Autonomous Agents and Multi-Agent Systems. 31:861-904
We consider an autonomous agent facing a stochastic, partially observable, multiagent environment. In order to compute an optimal plan, the agent must accurately predict the actions of the other agents, since they influence the state of the environme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70d7465fbbc3fbe05afdc85b0c9b044f
https://doi.org/10.1007/s10458-016-9359-z
https://doi.org/10.1007/s10458-016-9359-z
Publikováno v:
Artificial Intelligence. 279:103202
Individuals exhibit theory of mind, attributing beliefs, intent, and mental states to others as explanations of observed actions. Dennett's intentional stance offers an analogous abstraction for computational agents seeking to understand, explain, or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb3e706d50abff00f1026c686bf531e1
https://doi.org/10.1016/j.artint.2019.103202
https://doi.org/10.1016/j.artint.2019.103202
Autor:
Pascal Hitzler, Bhaskara Marthi, Anita Raja, Mark O. Riedl, Lilyana Mihalkova, Sriraam Natarajan, David W. Aha, Artur S. d'Avila Garcez, Leslie Pack Kaelbling, Alon Halevy, Robert P. Goldman, Luis C. Lamb, Kristian Kersting, Mark S. Boddy, Vivi Nastase, Gita Sukthankar, Christopher W. Geib, Piotr J. Gmytrasiewicz, Stuart Russell, Stefan Edelkamp, Charles L. Isbell, Jan-Georg Smaus, Darsana P. Josyula, Karl Tuyls, Prashant Doshi, Ron van der Meyden, Keith McGreggor, Ashwin Ram, Gregory Provan, Maithilee Kunda, Ashish Sabharwal, Vadim Bulitko
Publikováno v:
Scopus-Elsevier
Ai Magazine, 31(4), 95-108. AI Access Foundation
AI Magazine; Vol 31, No 4: Winter 2010; 95-108
ResearcherID
Ai Magazine, 31(4), 95-108. AI Access Foundation
AI Magazine; Vol 31, No 4: Winter 2010; 95-108
ResearcherID
The AAAI-10 workshop program was held on July 11-12, 2010, at the Westin Peachtree Plaza in Atlanta, Georgia. The workshop program included 13 workshops covering a wide range of topics in artificial intelligence. There were several presentations on p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85c6f62b246b7b02b38769efdf7e8441
https://cris.maastrichtuniversity.nl/en/publications/014b3940-1a37-407a-a787-c3b0e661bc59
https://cris.maastrichtuniversity.nl/en/publications/014b3940-1a37-407a-a787-c3b0e661bc59
Autor:
Piotr J. Gmytrasiewicz, Prashant Doshi
Publikováno v:
Journal of Artificial Intelligence Research. 34:297-337
Partially observable Markov decision processes (POMDPs) provide a principled framework for sequential planning in uncertain single agent settings. An extension of POMDPs to multiagent settings, called interactive POMDPs (I-POMDPs), replaces POMDP bel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::753c6a4b371ebdc2db55b18bbeadc928
https://doi.org/10.1613/jair.2630
https://doi.org/10.1613/jair.2630
Autor:
Piotr J. Gmytrasiewicz, Chiu-Che Tseng
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 363:417-436
The challenge of the investment domain is that a large amount of diverse information can be potentially relevant to an investment decision, and that, frequently, the decisions have to be made in a timely manner. In this setting, an investor has to ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::002a127de2e167aa48fe0a9cc4908385
https://doi.org/10.1016/j.physa.2005.08.028
https://doi.org/10.1016/j.physa.2005.08.028
Autor:
Sanguk Noh, Piotr J. Gmytrasiewicz
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 35:697-707
Autonomous agents need considerable computational resources to perform rational decision making. These demands are even more severe when other agents are present in the environment. In these settings, the quality of an agent's alternative behaviors d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1991b42209027736a7f5f53f360c9480
https://doi.org/10.1109/tsmca.2005.851797
https://doi.org/10.1109/tsmca.2005.851797
Autor:
Piotr J. Gmytrasiewicz, Prashant Doshi
Publikováno v:
Journal of Artificial Intelligence Research. 24:49-79
This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state space. Agents maintain beliefs over physical states of the environment and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c826cd7dc2b4ea7e524e4f7c54e24192
https://doi.org/10.1613/jair.1579
https://doi.org/10.1613/jair.1579
Publikováno v:
Applied Artificial Intelligence. 16:577-609
In this article, we expose some of the issues raised by the critics of the neoclassical approach to rational agent modeling and we propose a formal approach for the design of artificial rational agents that includes some of the functions of emotions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a813438a5379a6f1ebdcec1978af518
https://doi.org/10.1080/08839510290030408
https://doi.org/10.1080/08839510290030408