Abstract
In intelligent agents, memory has a very important and decisive role for the choice of future behaviors, since it is progressively formed through the agent’s interactions with the external environment. Previous work exists in the logic concerning the formalization of the reasoning on the formation of beliefs and the interaction with the background knowledge in non-omniscient agents. We extend this work by inserting the concept of time through a particular function that assigns a “timing” to beliefs and inferences.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alechina, N., Logan, B., Whitsey, M.: A complete and decidable logic for resource-bounded agents. In: 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 19–23 August 2004, pp. 606–613. IEEE Computer Society, New York (2004)
Areces, C., Blackburn, P., Marx, M.: Hybrid logics: Characterization, interpolation and complexity. J. Symb. Log. 66(3), 977–1010 (2001)
Atkinson, R.C., Shiffrin, R.M.: Human memory: a proposed system and its control processes. Psychol. Learn. Motiv. 2, 89–195 (1968)
Balbiani, P., Duque, D.F., Lorini, E.: A logical theory of belief dynamics for resource-bounded agents. In: Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, AAMAS 2016, pp. 644–652. ACM (2016)
Bansal, A.K., Ramohanarao, K., Rao, A.: Distributed storage of replicated beliefs to facilitate recovery of distributed intelligent agents. In: Singh, M.P., Rao, A., Wooldridge, M.J. (eds.) ATAL 1997. LNCS, vol. 1365, pp. 77–91. Springer, Heidelberg (1997). https://doi.org/10.1007/BFb0026751
Chesani, F., Mello, P., Montali, M., Torroni, P.: Monitoring time-aware commitments within agent-based simulation environments. Cybern. Syst. 42(7), 546–566 (2011)
Costantini, S., Formisano, A., Pitoni, V.: Timed memory in resource-bounded agents. In: Ghidini, C., Magnini, B., Passerini, A., Traverso, P. (eds.) AI*IA 2018. LNCS (LNAI), vol. 11298, pp. 15–29. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-03840-3_2
Engelfriet, J.: Minimal temporal epistemic logic. Notre Dame J. Formal Logic 37(2), 233–259 (1996)
Gelfond, M., Kahl, Y.: Knowledge Representation, Reasoning, and The Design of Intelligent Agents: The Answer-Set Programming Approach. Cambridge University Press, Cambridge (2014)
Gero, J.S., Peng, W.: Understanding behaviors of a constructive memory agent: a Markov chain analysis. Knowl.-Based Syst. 22(8), 610–621 (2009)
Grant, J., Kraus, S., Perlis, D.: A logic for characterizing multiple bounded agents. Auton. Agents Multi-Agent Syst. 3(4), 351–387 (2000). https://doi.org/10.1023/A:1010050603219
Koymans, R.: Specifying real-time properties with metric temporal logic. Real-Time Syst. 2(4), 255–299 (1990)
Laird, J.E., Lebiere, C., Rosenbloom, P.S.: A standard model of the mind: toward a common computational framework across artificial intelligence, cognitive science, neuroscience, and robotics. AI Mag. 38(4), 13–26 (2017)
Liew, P.S., Gero, J.S.: An implementation model of constructive memory for situated design agent, pp. 257–276 (2002)
Logie, R.H.: Visuo-spatial working memory (1994)
Micucci, D., Oldani, M., Tisato, F.: Time-aware multi agent systems. In: Weyns, D., Holvoet, T. (eds.) Multiagent Systems and Software Architecture, Proceedings of the Special Track at Net. ObjectDays, pp. 71–78. Katholieke Universiteit Leuven, Belgium (2006)
Omicini, A., Ricci, A., Viroli, M.: Timed environment for web agents. Web Intell. Agent Syst. 5(2), 161–175 (2007)
Pearson, D.G., Logie, R.H.: Effects of stimulus modality and working memory load on mental synthesis performance. Imagin. Cogn. Pers. 23(2), 183–191 (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Costantini, S., Pitoni, V. (2019). Memory Management in Resource-Bounded Agents. In: Alviano, M., Greco, G., Scarcello, F. (eds) AI*IA 2019 – Advances in Artificial Intelligence. AI*IA 2019. Lecture Notes in Computer Science(), vol 11946. Springer, Cham. https://doi.org/10.1007/978-3-030-35166-3_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-35166-3_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-35165-6
Online ISBN: 978-3-030-35166-3
eBook Packages: Computer ScienceComputer Science (R0)