Handbook of theoretical computer science (vol. B)
Using temporal logics to express search control knowledge for planning
Artificial Intelligence
Agent Programming with Declarative Goals
ATAL '00 Proceedings of the 7th International Workshop on Intelligent Agents VII. Agent Theories Architectures and Languages
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Planning with preferences using logic programming
Theory and Practice of Logic Programming
Multi-Agent Programming: Languages, Tools and Applications
Multi-Agent Programming: Languages, Tools and Applications
A heuristic search approach to planning with temporally extended preferences
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
DALT'07 Proceedings of the 5th international conference on Declarative agent languages and technologies V
Modules as policy-based intentions: modular agent programming in GOAL
ProMAS'07 Proceedings of the 5th international conference on Programming multi-agent systems
Monitoring of real-time properties
FSTTCS'06 Proceedings of the 26th international conference on Foundations of Software Technology and Theoretical Computer Science
Programming Organization-Aware Agents
ESAW '09 Proceedings of the 10th International Workshop on Engineering Societies in the Agents World X
An Empirical Study of Agent Programs
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
Operational behaviour for executing, suspending, and aborting goals in BDI agent systems
DALT'10 Proceedings of the 8th international conference on Declarative agent languages and technologies VIII
BDI agents with objectives and preferences
DALT'10 Proceedings of the 8th international conference on Declarative agent languages and technologies VIII
GOAL agents instantiate intention logic
Logic Programs, Norms and Action
An empirical study of cognitive agent programs
Multiagent and Grid Systems - Principles and Practice of Multi-Agent Systems
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The core capability of a rational agent is to choose its next action in a rational fashion, a capability that can be put to good use by a designer to satisfy the design objectives of an agent system. In agent programming languages for rational agents, such choices are derived from the agent's beliefs and goals. At any one time, an agent can typically choose from multiple actions, which may all lead to goal achievement. Existing approaches usually select one of those actions non-deterministically. In this paper, we propose the use of goals as hard constraints and qualitative preferences as soft constraints for choosing a most preferred action among the available ones. We use temporal logic for the representation of various kinds of goals and preferences, leading to a uniform framework for integrating goals and preferences into agent programming.