[HTML][HTML] How do agents make decisions? A survey
When designing an agent-based simulation, an important question to answer is how to
model the decision making processes of the agents in the system. A large number of agent …
model the decision making processes of the agents in the system. A large number of agent …
Reasoning about preferences in argumentation frameworks
S Modgil - Artificial intelligence, 2009 - Elsevier
The abstract nature of Dung's seminal theory of argumentation accounts for its widespread
application as a general framework for various species of non-monotonic reasoning, and …
application as a general framework for various species of non-monotonic reasoning, and …
Human-aligned artificial intelligence is a multiobjective problem
As the capabilities of artificial intelligence (AI) systems improve, it becomes important to
constrain their actions to ensure their behaviour remains beneficial to humanity. A variety of …
constrain their actions to ensure their behaviour remains beneficial to humanity. A variety of …
Introduction to normative multiagent systems
Introduction to normative multiagent systems Page 1 Comput Math Organiz Theor (2006) 12:71–79
DOI 10.1007/s10588-006-9537-7 Introduction to normative multiagent systems Guido …
DOI 10.1007/s10588-006-9537-7 Introduction to normative multiagent systems Guido …
Constitutive norms in the design of normative multiagent systems
G Boella, L van Der Torre - … Workshop on Computational Logic in Multi …, 2005 - Springer
In this paper, we consider the design of normative multiagent systems composed of both
constitutive and regulative norms. We analyze the properties of constitutive norms, in …
constitutive and regulative norms. We analyze the properties of constitutive norms, in …
[HTML][HTML] The current state of normative agent-based systems
CD Hollander, AS Wu - Journal of Artificial Societies and Social Simulation, 2011 - jasss.org
Recent years have seen an increase in the application of ideas from the social sciences to
computational systems. Nowhere has this been more pronounced than in the domain of …
computational systems. Nowhere has this been more pronounced than in the domain of …
BIO logical agents: Norms, beliefs, intentions in defeasible logic
G Governatori, A Rotolo - Autonomous Agents and Multi-Agent Systems, 2008 - Springer
In this paper we follow the BOID (Belief, Obligation, Intention, Desire) architecture to
describe agents and agent types in Defeasible Logic. We argue, in particular, that the …
describe agents and agent types in Defeasible Logic. We argue, in particular, that the …
On managing business processes variants
R Lu, S Sadiq, G Governatori - Data & Knowledge Engineering, 2009 - Elsevier
Variance in business process execution can be the result of several situations, such as
disconnection between documented models and business operations, workarounds in spite …
disconnection between documented models and business operations, workarounds in spite …
Introduction to the special issue on normative multiagent systems
This special issue contains four selected and revised papers from the second international
workshop on normative multiagent systems, for short NorMAS07 (Boella et al.(eds) …
workshop on normative multiagent systems, for short NorMAS07 (Boella et al.(eds) …
Using ontology to guide reinforcement learning agents in unseen situations: A traffic signal control system case study
S Ghanadbashi, F Golpayegani - Applied Intelligence, 2022 - Springer
In multi-agent systems, goal achievement is challenging when agents operate in ever-
changing environments and face unseen situations, where not all the goals are known or …
changing environments and face unseen situations, where not all the goals are known or …