Abstract
This chapter gives an overview of the contributions of this thesis and revisits and answers the research questions posed in Chap. 1. We outline what we learned through our contributions, we reflect on the impact and limitations of our work, and we describe where we believe research effort should be directed in the following years.
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Notes
- 1.
All educational material for the BOA architecture can be freely downloaded from http://ii.tudelft.nl/genius.
- 2.
Finding new learning techniques for the non-linear case is especially relevant for ANAC 2014; see Sect. 11.3.5.
- 3.
References
Faratin P, Sierra C, Jennings NR (1998) Negotiation decision functions for autonomous agents. Robot Auton Syst 24(34):159–182
Baarslag T, Gerding EH, Aydoğan R, schraefel MC (2015) Optimal negotiation decision functions in time-sensitive domains. In: 2015 IEEE/WIC/ACM International joint conferences on web intelligence (WI) and intelligent agent technologies (IAT)
Hao J, Leung H (2012) ABiNeS: An adaptive bilateral negotiating strategy over multiple items. Proceedings of the the 2012 IEEE/WIC/ACM international joint conferences on web intelligence and intelligent agent technology, vol 2. IEEE Computer Society, Washington, DC, USA, pp 95–102
Hao J, Lung H (2014) CUHK agent: An adaptive negotiation strategy for bilateral negotiations over multiple items. In: Marsa-Maestre I, Lopez-Carmona MA, Ito T, Zhang M, Bai Q, Fujita K (eds) Novel insights in agent-based complex automated negotiation. Studies in computational intelligence, vol 535. Springer, Japan, pp 171–179
Hindriks KV, Tykhonov D (2008) Opponent modelling in automated multi-issue negotiation using bayesian learning. Proceedings of the 7th international joint conference on autonomous agents and multiagent systems, International foundation for autonomous agents and multiagent systems, AAMAS ’08, vol 1. Richland, SC, pp 331–338
Coehoorn RM, Jennings NR (2004) Learning an opponent’s preferences to make effective multi-issue negotiation trade-offs. Proceedings of the 6th international conference on Electronic commerce, ICEC ’04. ACM, New York, NY, USA, pp 59–68
Faratin P, Sierra C, Jennings NR (2002) Using similarity criteria to make issue trade-offs in automated negotiations. Artif Intell 142(2):205–237
Zeng D, Sycara KP (1998) Bayesian learning in negotiation. Int J Hum Comput Stud 48(1):125–141
Baarslag T, Aydoğan R, Hindriks KV, Fuijita K, Ito T, Jonker CM (2015) The automated negotiating agents competition (ANAC). AI Mag 36:2010–2015
Greenwald A, Stone P (2001) Autonomous bidding agents in the trading agent competition. IEEE Internet Comput 5(2):52–60
Ketter W, Collins J, Reddy P, Flath C, de Weerdt M (2011) The power trading agent competition. ERIM report series reference no. ERS-2011-027-LIS
Niu J, Cai K, Parsons S, McBurney P, Gerding EH (2010) What the 2007 tac market design game tells us about effective auction mechanisms. Auton Agent Multi-Agent Syst 21:172–203
Stone P, Greenwald A (2005) The first international trading agent competition: Autonomous bidding agents. Electron Commer Res 5(2):229–265
Wellman MP, Wurman PR, O’Malley K, Bangera R, de Lin S, Reeves D, Walsh WE (2001) Designing the market game for a trading agent competition. IEEE Internet Comput 5(2):43–51
Klein M, Faratin P, Sayama H, Bar-Yam Y (2003) Negotiating complex contracts. Group Decis Negot 12:111–125
Ito T, Klein M, Hattori H (2008) A multi-issue negotiation protocol among agents with nonlinear utility functions. Multiagent Grid Syst 4(1):67–83
Lopez-Carmona MA, Marsa-Maestre I, Klein M, Ito T (2012) Addressing stability issues in mediated complex contract negotiations for constraint-based, non-monotonic utility spaces. Auton Agent Multi-Agent Syst 24(3):485–535
Sánchez-Anguix V, Valero S, Julián V, Botti V, García-Fornes A (2013) Evolutionary-aided negotiation model for bilateral bargaining in ambient intelligence domains with complex utility functions. Inf Sci 222:25–46
Sierra C (2012) Negotiation and search. In: AT, p 1
Zheng R, Chakraborty N, Dai T, Sycara KP (2013) Multiagent negotiation on multiple issues with incomplete information. In: Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems. International foundation for autonomous agents and multiagent systems, pp 1279–1280
Mazliah Y, Gal Y (2005) Coordination in multi-player human-computer groups. In: Proceedings of the first human-agent interaction design and models workshop (HAIDM)
Sykulski AM, Chapman AC, de Cote EM, Jennings NR (2010) Ea squared: The winning strategy for the inaugural lemonade stand game tournament. In: Proceedings of the nineteenth european conference on artificial intelligence. Lisbon, Portugal, pp 209–214
Brandt F, Sandholm T, Shoham Y (2007) Spiteful bidding in sealed-bid auctions. In: Proceedings of twentieth international joint conference on artificial intelligence, pp 1207–1214
Vetsikas IA, Jennings NR (2007) Outperforming the competition in multi-unit sealed bid auctions. In: Proceedings of the 6th international joint conference on autonomous agents and multiagent systems, AAMAS ’07. ACM, New York, NY, USA, pp 103:1–103:8
Baarslag T, Fujita K, Gerding EH, Hindriks KV, Ito T, Jennings NR, Jonker CM, Kraus S, Lin R, Robu V, Williams CR (2013) Evaluating practical negotiating agents: Results and analysis of the 2011 international competition. Artif Intell 198:73–103
Wellman MP, Joshua E, Satinder S, Yevgeniy V, Christopher K, Vishal S (2005) Strategic interactions in a supply chain game. Comput Intell 21(1):1–26
Williams CR (Dec 2012) Practical strategies for agent-based negotiation in complex environments. Ph.D. thesis, University of Southampton
Chen S, Ammar HB, Tuyls K, Weiss G (2013) Optimizing complex automated negotiation using sparse pseudo-input gaussian processes. Proceedings of the 2013 international conference on autonomous agents and multi-agent systems, AAMAS ’13. International foundation for autonomous agents and multiagent systems, Richland, SC, pp 707–714
Vytelingum P, Cliff D, Jennings NR (2008) Strategic bidding in continuous double auctions. Artif Intell 172(14):1700–1729
Young HP (1993) The evolution of conventions. Econometrica: J Econometric Soc 61(1):57–84
Kolomvatsos K, Hadjieftymiades S (2014) On the use of particle swarm optimization and kernel density estimator in concurrent negotiations. Inf Sci 262:99–116
Nguyen TD, Jennings NR (2004) Coordinating multiple concurrent negotiations. Proceedings of the third international joint conference on autonomous agents and multiagent systems, AAMAS ’04, vol 3. IEEE Computer Society, Washington, DC, USA, pp 1064–1071
Traum D, Marsella SC, Gratch J, Lee J, Hartholt A (2008) Multi-party, multi-issue, multi-strategy negotiation for multi-modal virtual agents. In: Prendinger H, Lester J, Ishizuka M (eds) Intelligent virtual agents. Lecture notes in computer science, vol 5208. Springer, Berlin, pp 117–130
Williams CR, Robu V, Gerding EH, Jennings NR (2012) Towards a platform for concurrent negotiations in complex domain. In: Proceedings of the fifth international workshop on agent-based complex automated negotiations (ACAN 2012)
Williams CR, Robu V, Gerding EH, Jennings NR (2012) Negotiating concurrently with unknown opponents in complex, real-time domains. In: 20th european conference on artificial intelligence
Gal Y, Kraus S, Gelfand M, Khashan H, Salmon E (2011) An adaptive agent for negotiating with people in different cultures. ACM Trans Intell Syst Technol 3(1):8:1–8:24
Lin R, Kraus S (2010) Can automated agents proficiently negotiate with humans? Commun ACM 53(1):78–88
Lin R, Kraus S (2012) From research to practice: automated negotiations with people. In: Krüger A, Kuflik T (eds) Ubiquitous display environments. Cognitive Technologies, Springer, Berlin, pp 195–212
Aydoğan R, Baarslag T, Hindriks KV, Jonker CM, Yolum P (2013) Heuristic-based approaches for CP-nets in negotiation. In: Ito T, Zhang M, Robu V, Matsuo T (eds) Complex automated negotiations: theories, models, and software competitions. Studies in computational intelligence, vol 435. Springer, Berlin, pp 113–123
Aydoğan R, Yolum P (2012) Learning opponent’s preferences for effective negotiation: an approach based on concept learning. Auton Agent Multi-Agent Syst 24:104–140
Fujita K, Ito T, Klein M (2009) Approximately fair and secure protocols for multiple interdependent issues negotiation. Proceedings of the 8th international conference on autonomous agents and multiagent systems, International foundation for autonomous agents and multiagent systems, AAMAS ’09, vol 2. Richland, SC, pp 1287–1288
Marsa-Maestre I, Lopez-Carmona MA, Velasco JR, Ito T, Klein M, Fujita K (2009) Balancing utility and deal probability for auction-based negotiations in highly nonlinear utility spaces. In: Proceedings of the 21st international joint conference on artifical intelligence, IJCAI’09. Morgan Kaufmann Publishers Inc, pp 214–219
Robu V, Somefun K, La Poutré JA (2005) Modeling complex multi-issue negotiations using utility graphs. Proceedings of the fourth international joint conference on autonomous agents and multiagent systems. ACM, New York, USA, pp 280–287
Marsa-Maestre I, Klein M, de la Hoz E, Lopez-Carmona MA (2011) Negowiki: A set of community tools for the consistent comparison of negotiation approaches. In: Kinny D, Hsu JY, Governatori G, Ghose AK (eds) Agents in principle, agents in practice. Lecture notes in computer science, vol 7047. Springer-Verlag, Berlin, pp 424–435
Marsa-Maestre I, Klein M, Jonker CM, Aydoğan R (2013) Towards a negotiation handbook. Decision Support Systems, From problems to protocols
Baarslag T, Gerding EH (2015) Optimal incremental preference elicitation during negotiation. In: Proceedings of the twenty-fourth international joint conference on artificial intelligence. AAAI Press, pp 3–9
Baarslag T, Gerding EH (2015). Optimal incremental preference elicitation during negotiation. In: 17th international workshop on agent-mediated electronic commerce and trading agents design and analysis
Baarslag T, Liccardi I, Gerding EH, Gomer R, Schraefel MC (2015) Negotiating mobile app permissions. In: Amsterdam privacy conference
Zuckerman I, Segal-Halevi E, Kraus S, Rosenfeld A (May 2013) Towards automated negotiation agents that use chat interface. In: The sixth international workshop on agent-based complex automated negotiations (ACAN)
Jonker CM (2007) The pocket negotiator, synergy between man and machine. NWO Grant proposal
Visser W (2012) Qualitative multi-criteria preference representation and reasoning. Dissertation, Delft University of Technology, Delft, The Netherlands
Pommeranz A, Detweiler C, Wiggers P, Jonker CM (2012) Elicitation of situated values: need for tools to help stakeholders and designers to reflect and communicate. Ethics Inf Technol 14(4):285–303
Pommeranz A, Broekens J, Visser W, Brinkman WP, Wiggers P, Jonker CM (2009) Multi-angle view on preference elicitation for negotiation support systems. Proceedings of the 1st international working conference on human factors and computational models in negotiation. ACM, New York, USA, pp 19–26
Pommeranz A (2012) Designing human-centered systems for reflective decision making. Dissertation, Delft University of Technology
Tykhonov D (2010) Designing generic and efficient negotation strategies. Ph.D. thesis, Delft University of Technology
Broekens J, Jonker CM, Meyer JJC (2010) Affective negotiation support systems. J Ambient Intell Smart Environ 2(2):121–144
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Baarslag, T. (2016). Conclusion. In: Exploring the Strategy Space of Negotiating Agents. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-28243-5_11
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