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Agents in proactive environments
1999
Journal of Logic and Computation
Agents situated in proactive environments are acting autonomously while the environment is evolving alongside, whether or not the agents carry out any particular actions. ...
The capabilities of the agents are modeled by a set of conditional rules in a temporal-logical format. The environment itself is modeled by an independent transition relation on the state space. ...
Conclusion and further work We have presented a temporal-logical language to model agents situated in proactive environments, and we have developed an abstract, general theory of such dynamic systems. ...
doi:10.1093/logcom/9.1.25
fatcat:cl6lhvbwkffitmnwddqbgoprma
Agents in proactive environments
[chapter]
1997
Lecture Notes in Computer Science
Agents situated in proactive environments are acting autonomously while the environment is evolving alongside, whether or not the agents carry out any particular actions. ...
The capabilities of the agents are modeled by a set of conditional rules in a temporal-logical format. The environment itself is modeled by an independent transition relation on the state space. ...
Conclusion and further work We have presented a temporal-logical language to model agents situated in proactive environments, and we have developed an abstract, general theory of such dynamic systems. ...
doi:10.1007/3540634932_34
fatcat:efk4z2mycjhb5exstcf6nmmuoa
Bio-inspired multi-agent data harvesting in a proactive urban monitoring environment
2009
Ad hoc networks
In typical urban sensing operations, multiple agents should collaborate in harvesting and searching for key meta-data in parallel. ...
Thus, it is critical to effectively coordinate the harvesting operations of multiple agents in a decentralized and lightweight way. ...
From this study, we showed that DTF effectively balances the movement of multiple agents and distributes them. ...
doi:10.1016/j.adhoc.2008.03.009
fatcat:lcgjo4lvarbsjc27vznlaajsmm
Proactive and Reactive Coordination of Non-dedicated Agent Teams Operating in Uncertain Environments
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
Existing research in task allocation has only considered fixed number of agents and in some instances arrival of new agents on the team. ...
Domains such as disaster rescue, security patrolling etc. often feature dynamic environments where allocations of tasks to agents become ineffective due to unforeseen conditions that may require agents ...
To that end, we first provide a general model for the study of non-dedicated agent teams operating in uncertain environments. ...
doi:10.24963/ijcai.2017/5
dblp:conf/ijcai/AgrawalV17
fatcat:zdedubhcwnbuvhyve65y7ppocq
The Phoenix framework: a practical architecture for programmable networks
2000
IEEE Communications Magazine
Mobile agent systems make the network very flexible as an agent can extend the network device capability on demand at run time. ...
In this paper, we describe Intel's framework for programmable networks known as Phoenix. ...
an agent (with or without state) between two proactive environments. ...
doi:10.1109/35.825654
fatcat:mkmiav63yrdhnahzgnb7d6jipe
Proactive or Reactive: An Analysis of the Effect of Agent Style on Organizational Decision-making Performance
1993
International Journal of Intelligent Systems in Accounting, Finance & Management
This paper addresses the issue of agent style-proactive and reactive-from a theoretical perspective. ...
The results show that agent style, though often considered key in decision making, only affects the organization's performance when the organization is under moderate time pressure. ...
Acknowledgements This work was supported, in part, by the Office of Naval Research, United States Navy, under grant number N00014-90-J-1664. ...
doi:10.1002/j.1099-1174.1993.tb00047.x
fatcat:p73cla5muzcsdomtyy2kccidf4
Enacting Proactive Workflows Engine in e-Science
[chapter]
2006
Lecture Notes in Computer Science
In this paper, we propose a software environment to dynamically generate domain-specific, agent-based workflow engines from workflow specifications. ...
The workflow engine is a proactive multiagent system -a distributed, concurrent system-whose autonomous components interact in performing the workflow activities in a specific domain. ...
Acknowledgements This work was partially supported by the Italian Ministry of Education, University and Research (MIUR), projects "Oncology over Internet (O2I)" and "Laboratory of Interdisciplinary Technologies in ...
doi:10.1007/11758532_138
fatcat:5ctk7kwn4fftdnslxzam5xefra
A Formal Model for Autonomous Planning in High Performance Systems
2016
Procedia Computer Science
In this work we present a modeling methodology and a planning techniques based on a multi-agent model. ...
Agents describe capabilities of each available IoT element in an area where a critical situation has occurred; the planning methodology exploit both classical and a new counter-example based approaches ...
Hence, in this work, a planning actions execute with the following steps: (1) A Proactive Agents finds a plan in an environment with one ore more Resource Agents and resources. ...
doi:10.1016/j.procs.2016.09.085
fatcat:7jeyod3ph5ba5gnmvdomodnwta
Automated Negotiation Based on Proactive Information for Agent Community
2016
Revista Técnica de la Facultad de Ingeniería Universidad del Zulia
In the end, we develop some experiments based on Java Agent Development Environment, and verify the efficiency and effectiveness of algorithm through experiment and analysis. ...
In this paper, we consider the problem of automated negotiation in the Agent community on the internet. ...
In fact, the Agent would be affected by the external environment and other Agents. ...
doi:10.21311/001.39.5.08
fatcat:aos63x5levgnxkuj3pspox6gza
Reactive, Proactive, and Inductive Agents: An evolutionary path for biological and artificial spiking networks
[article]
2019
arXiv
pre-print
Through in-vitro and in-silico experiments, we define the conditions necessary in a network with spike-timing dependent plasticity for the organism to go from reactive to proactive behavior. ...
Complex environments provide structured yet variable sensory inputs. ...
We then add actions back into the picture and discuss proactive agents.
Predictions In Fig. 5 , the output of the network directly affects the environment. ...
arXiv:1902.06410v2
fatcat:eu7d2373qnayzgqqj6bo54ko4a
Team-based agents for proactive failure handling in dynamic composition of Web services
2004
Proceedings. IEEE International Conference on Web Services, 2004.
The approach provides clear advantages for proactive handling of failures that may be encountered during execution of a complex web service. ...
The team-based approach, with emphases on the sharing of mental models and proactive collaboration, provides an alternative to current static approaches to web service composition. ...
Second, CAST agents are designed to proactively inform each other of changes in the environment that they perceive to handle any exceptions that arise in achieving a team goal. ...
doi:10.1109/icws.2004.1314820
dblp:conf/icws/FanYP04
fatcat:5usfxjb4crap3llz4jj7boqdm4
Reactive, Proactive, and Inductive Agents: An Evolutionary Path for Biological and Artificial Spiking Networks
2020
Frontiers in Computational Neuroscience
Based on earlier in-vitro and in-silico experiments, we define the conditions necessary in a network with spike-timing dependent plasticity for the organism to go from reactive to proactive behavior. ...
Complex environments provide structured yet variable sensory inputs. ...
In this paper, we focus on the evolutionary transition from reactive agents to proactive agents, and from proactive agents to inductive agents. ...
doi:10.3389/fncom.2019.00088
pmid:32038209
pmcid:PMC6987297
fatcat:x2w3ehzcxbchhj7odkrk2vt3na
Level-of-detail for cognitive real-time characters
2005
The Visual Computer
We present a solution for the real-time simulation of artificial environments containing cognitive and hierarchically organized agents at constant rendering framerates. ...
We introduce a level-of-detail concept to behavioral modeling, where agents populating the world can be both reactive and proactive. ...
When approximately half the agents are visible, most of the agents in the foreground act proactively. ...
doi:10.1007/s00371-005-0279-1
fatcat:ugqmyoh6vngqffpe3o5vc3dw4e
Quality Measures for Agent-Oriented Software
[chapter]
2018
Multi-Agent Systems - Control Spectrum [Working Title]
For this, we consider the three most important characteristics of a software agent: its social ability, autonomy and proactivity. ...
The popularity of software agents and multiagent systems has increased, and this is now one of the most active areas in informatics research and development. ...
The importance of proactivity is that it implies that the agent executes actions on his own initiative to achieve his objectives, interacting with the agents in the environment and reacting to the stimuli ...
doi:10.5772/intechopen.79741
fatcat:2pclevdb6bgw5iasnaqcsa3fse
Time-awareness and Proactivity in Models of Interactive Computation
2005
Electronical Notes in Theoretical Computer Science
Those systems are time-critical, may contain autonomous components, and may exhibit proactive behaviour. ...
The paper discusses explicit properties and the requirements that are to be verified, imposed upon software-intensive systems by their environment and by their users. ...
The authors sincerely appreciate the questions and recommendations of the reviewers that inspired major improvements in the manuscripts. ...
doi:10.1016/j.entcs.2005.05.017
fatcat:zldq6tkwyfdyhd6wvbwogxdb5y
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