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ORCIDBob van der Vecht
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2020 – today
- 2022
[j2]Bob van der Vecht, Xavier Coiteux-Roy
, B. S. koric:
Can't touch this: unconditional tamper evidence from short keys. Quantum Inf. Comput. 22(5&6): 361-384 (2022)- 2021
- [i2]Jurriaan van Diggelen, Wiard Jorritsma, Bob van der Vecht:
Teaming up with information agents. CoRR abs/2101.06133 (2021)
2010 – 2019
- 2019
- [c13]August Daniel Sutmuller, Mariëlle den Hengst, Ana Isabel Barros, Bob van der Vecht, Wouter Noordkamp, Pieter H. A. J. M. van Gelder:
Predicting the Offender: Frequency versus Bayes. EISIC 2019: 1-8 - [c12]Koen van der Zwet, Ana Isabel Barros, Tom M. van Engers, Bob van der Vecht:
An Agent-Based Model for Emergent Opponent Behavior. ICCS (2) 2019: 290-303 - [i1]Jurriaan van Diggelen, Jonathan Barnhoorn, Marieke M. M. Peeters, Wessel van Staal, M. L. van Stolk, Bob van der Vecht, Jasper van der Waa, Jan Maarten Schraagen:
Pluggable Social Artificial Intelligence for Enabling Human-Agent Teaming. CoRR abs/1909.04492 (2019) - 2018
- [c11]Bob van der Vecht, Jurriaan van Diggelen, Marieke Peeters, Jonathan Barnhoorn, Jasper van der Waa:
SAIL: A Social Artificial Intelligence Layer for Human-Machine Teaming. PAAMS 2018: 262-274 - [c10]Bob van der Vecht, Jurriaan van Diggelen, Marieke Peeters, Wessel van Staal, Jasper van der Waa:
The SAIL Framework for Implementing Human-Machine Teaming Concepts. PAAMS 2018: 361-365 - 2016
- [c9]Selmar Smit, Bob van der Vecht, Freek van Wermeskerken, Jan Willem Streefkerk:
QUIN: Providing Integrated Analysis Support to Crime Investigators. EISIC 2016: 120-123 - 2014
- [j1]Peter-Paul van Maanen, Bob van der Vecht:
Development and evaluation of multi-agent models of online social influence based on Cialdini's principles. Soc. Netw. Anal. Min. 4(1): 218 (2014) - 2013
- [c8]Peter-Paul van Maanen, Bob van der Vecht:
An agent-based approach to modeling online social influence. ASONAM 2013: 600-607 - [c7]Rikke Amilde Løvlid, Anders Alstad, Ole Martin Mevassvik, Nico de Reus, Henk Henderson, Bob van der Vecht, Torec T. Luik:
Two approaches to developing a multi-agent system for battle command simulation. WSC 2013: 1491-1502 - 2010
- [p2]Martijn Neef, Bob van der Vecht:
Agility and Adaptive Autonomy in Networked Organizations. Interactive Collaborative Information Systems 2010: 357-373
2000 – 2009
- 2009
- [b1]Bob van der Vecht:
Adjustable Autonomy: Controling Influences on Decision Making. Utrecht University, Netherlands, 2009 - [c6]Bob van der Vecht, Frank Dignum, John-Jules Ch. Meyer:
Autonomy and Coordination: Controlling External Influences on Decision Making. IAT 2009: 92-95 - [p1]Bob van der Vecht, Frank Dignum, John-Jules Ch. Meyer:
Autonomous Agents Adopting Organizational Rules. Handbook of Research on Multi-Agent Systems 2009: 314-333 - 2008
- [c5]Bob van der Vecht, Frank Dignum, John-Jules Ch. Meyer, Virginia Dignum:
Organizations and Autonomous Agents: Bottom-Up Dynamics of Coordination Mechanisms. COIN@AAMAS&AAAI 2008: 17-32 - [c4]Bob van der Vecht, Frank Dignum, John-Jules Ch. Meyer:
Magic Agents: Using Information Relevance to Control Autonomy. ECAI 2008: 889-890 - 2007
- [c3]Bob van der Vecht, Frank Dignum, John-Jules Ch. Meyer, Martijn Neef:
A Dynamic Coordination Mechanism Using Adjustable Autonomy. COIN 2007: 83-96 - 2006
- [c2]Bob van der Vecht, André P. Meyer, Martijn Neef, Frank Dignum, John-Jules Ch. Meyer:
Influence-Based Autonomy Levels in Agent Decision-Making. COIN@AAMAS/ECAI 2006: 322-337 - 2004
- [c1]Bob van der Vecht, Pedro U. Lima:
Formulation and Implementation of Relational Behaviours for Multi-robot Cooperative Systems. RoboCup 2004: 516-523
Coauthor Index
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