Log in

Relevant bibliographies by topics / Multi-agent interaction / Books

To see the other types of publications on this topic, follow the link: Multi-agent interaction.

Books on the topic 'Multi-agent interaction'

Author: Grafiati

Published: 25 May 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 22 books for your research on the topic 'Multi-agent interaction.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse books on a wide variety of disciplines and organise your bibliography correctly.

1

1960-, Sun Ron, ed. Cognition and multi-agent interaction: From cognitive modeling to social simulation. Cambridge: Cambridge University Press, 2006.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

2

Khosla, Rajiv. Intelligent Multimedia Multi-Agent Systems: A Human-Centered Approach. Boston, MA: Springer US, 2000.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

3

Wayne, Wobcke, Sen Sandip, Sugawara Toshiharu, and SpringerLink (Online service), eds. PRIMA 2012: Principles and Practice of Multi-Agent Systems: 15th International Conference, Kuching, Sarawak, Malaysia, September 3-7, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

4

Iyad, Rahwan, Parsons Simon, and SpringerLink (Online service), eds. Argumentation in Multi-Agent Systems: 7th International Workshop, ArgMAS 2010 Toronto, ON, Canada, May 10, 2010 Revised, Selected and Invited Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

5

International Conference on Multi-Agent Systems (1st 1995 San Francisco, Calif.). ICMAS--95, First International Conference on Multi-Agent Systems: Proceedings, June 12-14, 1995, San Francisco, California. Menlo Park, Calif: AAAI Press, 1995.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

6

Sun, Ron, ed. Cognition and Multi-Agent Interaction. Cambridge University Press, 2005. http://dx.doi.org/10.1017/cbo9780511610721.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

W, Brockett Roger, Tarokh Vahid, and Lu Yue, eds. Multi-Agent Systems with Reciprocal Interaction Laws. 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

8

Sun, Ron. Cognition and Multi-agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2006.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

9

Sun, Ron. Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2008.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

10

Sun, Ron. Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2005.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

11

Sun, Ron. Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2009.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

12

Sun, Ron. Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2005.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

13

Sun, Ron. Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, 2006.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

14

Intelligent Multimedia Multi-Agent Systems: A Human-Centered Approach (The Springer International Series in Engineering and Computer Science). Springer, 2000.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

15

Green, Nancy, Matteo Baldoni, Cristina Baroglio, Floris Bex, and Floriana Grasso. Principles and Practice of Multi-Agent Systems : International Workshops: IWEC 2014, Gold Coast, QLD, Australia, December 1-5, 2014, and CMNA XV and IWEC 2015, Bertinoro, Italy, October 26, 2015, Revised Selected Papers. Springer, 2017.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

16

Principles and Practice of Multi-Agent Systems: 13th International Conference, PRIMA 2010, Kolkata, India, November 12-15, 2010, Revised Selected Papers. Springer, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

17

Liu, Alan, Nirmit Desai, and Michael Winikoff. Principles and Practice of Multi-Agent Systems: 13th International Conference, PRIMA 2010, Kolkata, India, November 12-15, 2010, Revised Selected Papers. Springer, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

18

Alkhateeb, Faisal, ed. Multi-Agent Systems - Modeling, Interactions, Simulations and Case Studies. InTech, 2011. http://dx.doi.org/10.5772/1936.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Cognition and multi-agent interactions: From cognitive modeling to social simulation. New York: Cambridge University Press, 2005.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

20

Arjaliès, Diane-Laure, Philip Grant, Iain Hardie, Donald MacKenzie, and Ekaterina Svetlova. Fund Managers and Their Investors. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198802945.003.0003.

Full text

Abstract:

Chapter 3 examines the mechanisms through which clients impact fund managers’ practices and vice versa. The discussion encompasses fixed income investment as well as investment in shares. In both fixed income and shares, clients can include both institutional investors (such as pension funds) and retail investors (i.e. private individuals, though often guided by financial advisers). Their reasons for investment vary, leading to different time-horizons on their decisions, different ways of measuring performance, and different forms of interaction with the rest of the investment chain. They often rely on various types of advisers: investment consultants, independent financial advisers, and fund-rating companies. Variations of those kinds among the clients influence fund managers’ investment decisions, whether intentionally or not. Thus, the chapter suggests that the client–fund manager relationship is not a simple principal–agent problem, but a multi-faceted, contextually dependent, malleable matter.

APA, Harvard, Vancouver, ISO, and other styles

21

Smart, Paul R. Mandevillian Intelligence. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198801764.003.0013.

Full text

Abstract:

Mandevillian intelligence is a specific form of collective intelligence in which individual cognitive shortcomings, limitations, and biases play a positive functional role in yielding various forms of collective cognitive success. When this idea is transposed to the epistemological domain, mandevillian intelligence emerges as the idea that individual forms of intellectual vice may, on occasion, support the epistemic performance of some form of multi-agent ensemble, such as a socio-epistemic system, a collective doxastic agent, or an epistemic group agent. As a specific form of collective intelligence, mandevillian intelligence is relevant to a number of debates in social epistemology, especially those that seek to understand how group (or collective) knowledge arises from the interactions between a collection of individual epistemic agents.

APA, Harvard, Vancouver, ISO, and other styles

22

Ehresmann, Andrée. Applications of Categories to Biology and Cognition. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198748991.003.0015.

Full text

Abstract:

Mathematical models used in biology are generally adapted from physics and relate to specific local processes. Category theory helps developing global dynamic models account for the main specificities of living systems: (i) The system is evolutionary, with a tangled hierarchy of interacting components, which change over time. (ii) It develops a robust and flexible memory up to the emergence of components and processes of increasing complexity. (iii) It has a multi-agent, multi-temporality, self-organization. This chapter presents such a model, the Memory Evolutive Systems, which in particular characterizes the property at the root of emergence and flexibility. A main application is the model MENS for a neurocognitive system which proposes a physically based “theory of mind”, up to the emergence of higher cognitive processes such as consciousness, anticipation, and creativity.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!